Merge branch 'master' of https://code-repo.d4science.org/D-Net/dnet-hadoop

dhp-schemas/src/main/java/eu/dnetlib/dhp/schema/oaf/Result.java

@@ -2,8 +2,10 @@
 package eu.dnetlib.dhp.schema.oaf;
 
 import java.io.Serializable;
+import java.util.ArrayList;
 import java.util.Comparator;
 import java.util.List;
+import java.util.stream.Collectors;
 
 public class Result extends OafEntity implements Serializable {
 
@@ -248,13 +250,24 @@ public class Result extends OafEntity implements Serializable {
 		StructuredProperty baseMainTitle = null;
 		if (title != null) {
 			baseMainTitle = getMainTitle(title);
-			title.remove(baseMainTitle);
+			if (baseMainTitle != null) {
+				final StructuredProperty p = baseMainTitle;
+				title = title.stream().filter(t -> t != p).collect(Collectors.toList());
+			}
+//
+//
+//			title.remove(baseMainTitle);
 		}
 
 		StructuredProperty newMainTitle = null;
 		if (r.getTitle() != null) {
 			newMainTitle = getMainTitle(r.getTitle());
-			r.getTitle().remove(newMainTitle);
+			if (newMainTitle != null) {
+				final StructuredProperty p = newMainTitle;
+				title = title.stream().filter(t -> t != p).collect(Collectors.toList());
+			}
+
+			// r.getTitle().remove(newMainTitle);
 		}
 
 		if (newMainTitle != null && compareTrust(this, r) < 0)

dhp-workflows/dhp-broker-events/src/main/java/eu/dnetlib/dhp/broker/model/EventFactory.java

@@ -36,8 +36,9 @@ public class EventFactory {
 
 		final Map<String, Object> map = createMapFromResult(updateInfo);
 
-		final String eventId =
+		final String eventId = calculateEventId(
-			calculateEventId(updateInfo.getTopicPath(), updateInfo.getTarget().getOriginalId().get(0), updateInfo.getHighlightValueAsString());
+			updateInfo.getTopicPath(), updateInfo.getTarget().getOriginalId().get(0),
+			updateInfo.getHighlightValueAsString());
 
 		res.setEventId(eventId);
 		res.setProducerId(PRODUCER_ID);
@@ -80,13 +81,17 @@ public class EventFactory {
 		final List<StructuredProperty> subjects = target.getSubject();
 		if (subjects.size() > 0) {
 			map
-				.put("target_publication_subject_list", subjects.stream().map(StructuredProperty::getValue).collect(Collectors.toList()));
+				.put(
+					"target_publication_subject_list",
+					subjects.stream().map(StructuredProperty::getValue).collect(Collectors.toList()));
 		}
 
 		final List<Author> authors = target.getAuthor();
 		if (authors.size() > 0) {
 			map
-				.put("target_publication_author_list", authors.stream().map(Author::getFullname).collect(Collectors.toList()));
+				.put(
+					"target_publication_author_list",
+					authors.stream().map(Author::getFullname).collect(Collectors.toList()));
 		}
 
 		// PROVENANCE INFO
@@ -113,7 +118,9 @@ public class EventFactory {
 	}
 
 	private static long parseDateTolong(final String date) {
-		if (StringUtils.isBlank(date)) { return -1; }
+		if (StringUtils.isBlank(date)) {
+			return -1;
+		}
 		try {
 			return DateUtils.parseDate(date, DATE_PATTERNS).getTime();
 		} catch (final ParseException e) {

dhp-workflows/dhp-broker-events/src/main/java/eu/dnetlib/dhp/broker/oa/GenerateEventsApplication.java

@@ -87,31 +87,24 @@ public class GenerateEventsApplication {
 	private static final UpdateMatcher<Pair<Result, List<Software>>, ?> enrichMoreSoftware = new EnrichMoreSoftware();
 
 	private static final UpdateMatcher<Pair<Result, List<Publication>>, ?> enrichMisissingPublicationIsRelatedTo = new EnrichMissingPublicationIsRelatedTo();
-	private static final UpdateMatcher<Pair<Result, List<Publication>>, ?> enrichMissingPublicationIsReferencedBy =
+	private static final UpdateMatcher<Pair<Result, List<Publication>>, ?> enrichMissingPublicationIsReferencedBy = new EnrichMissingPublicationIsReferencedBy();
-		new EnrichMissingPublicationIsReferencedBy();
 	private static final UpdateMatcher<Pair<Result, List<Publication>>, ?> enrichMissingPublicationReferences = new EnrichMissingPublicationReferences();
-	private static final UpdateMatcher<Pair<Result, List<Publication>>, ?> enrichMissingPublicationIsSupplementedTo =
+	private static final UpdateMatcher<Pair<Result, List<Publication>>, ?> enrichMissingPublicationIsSupplementedTo = new EnrichMissingPublicationIsSupplementedTo();
-		new EnrichMissingPublicationIsSupplementedTo();
+	private static final UpdateMatcher<Pair<Result, List<Publication>>, ?> enrichMissingPublicationIsSupplementedBy = new EnrichMissingPublicationIsSupplementedBy();
-	private static final UpdateMatcher<Pair<Result, List<Publication>>, ?> enrichMissingPublicationIsSupplementedBy =
-		new EnrichMissingPublicationIsSupplementedBy();
 
-	private static final UpdateMatcher<Pair<Result, List<eu.dnetlib.dhp.schema.oaf.Dataset>>, ?> enrichMisissingDatasetIsRelatedTo =
+	private static final UpdateMatcher<Pair<Result, List<eu.dnetlib.dhp.schema.oaf.Dataset>>, ?> enrichMisissingDatasetIsRelatedTo = new EnrichMissingDatasetIsRelatedTo();
-		new EnrichMissingDatasetIsRelatedTo();
+	private static final UpdateMatcher<Pair<Result, List<eu.dnetlib.dhp.schema.oaf.Dataset>>, ?> enrichMissingDatasetIsReferencedBy = new EnrichMissingDatasetIsReferencedBy();
-	private static final UpdateMatcher<Pair<Result, List<eu.dnetlib.dhp.schema.oaf.Dataset>>, ?> enrichMissingDatasetIsReferencedBy =
+	private static final UpdateMatcher<Pair<Result, List<eu.dnetlib.dhp.schema.oaf.Dataset>>, ?> enrichMissingDatasetReferences = new EnrichMissingDatasetReferences();
-		new EnrichMissingDatasetIsReferencedBy();
+	private static final UpdateMatcher<Pair<Result, List<eu.dnetlib.dhp.schema.oaf.Dataset>>, ?> enrichMissingDatasetIsSupplementedTo = new EnrichMissingDatasetIsSupplementedTo();
-	private static final UpdateMatcher<Pair<Result, List<eu.dnetlib.dhp.schema.oaf.Dataset>>, ?> enrichMissingDatasetReferences =
+	private static final UpdateMatcher<Pair<Result, List<eu.dnetlib.dhp.schema.oaf.Dataset>>, ?> enrichMissingDatasetIsSupplementedBy = new EnrichMissingDatasetIsSupplementedBy();
-		new EnrichMissingDatasetReferences();
-	private static final UpdateMatcher<Pair<Result, List<eu.dnetlib.dhp.schema.oaf.Dataset>>, ?> enrichMissingDatasetIsSupplementedTo =
-		new EnrichMissingDatasetIsSupplementedTo();
-	private static final UpdateMatcher<Pair<Result, List<eu.dnetlib.dhp.schema.oaf.Dataset>>, ?> enrichMissingDatasetIsSupplementedBy =
-		new EnrichMissingDatasetIsSupplementedBy();
 
 	public static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
 
 	public static void main(final String[] args) throws Exception {
 		final ArgumentApplicationParser parser = new ArgumentApplicationParser(
 			IOUtils
-				.toString(GenerateEventsApplication.class
+				.toString(
+					GenerateEventsApplication.class
 						.getResourceAsStream("/eu/dnetlib/dhp/oa/graph/merge_claims_parameters.json")));
 		parser.parseArgument(args);
 
@@ -156,7 +149,8 @@ public class GenerateEventsApplication {
 		final String graphPath,
 		final Class<R> resultClazz) {
 
-		final Dataset<R> results = readPath(spark, graphPath + "/" + resultClazz.getSimpleName().toLowerCase(), resultClazz)
+		final Dataset<R> results = readPath(
+			spark, graphPath + "/" + resultClazz.getSimpleName().toLowerCase(), resultClazz)
 				.filter(r -> r.getDataInfo().getDeletedbyinference());
 
 		final Dataset<Relation> rels = readPath(spark, graphPath + "/relation", Relation.class)
@@ -196,15 +190,18 @@ public class GenerateEventsApplication {
 		return list.stream().map(EventFactory::newBrokerEvent).collect(Collectors.toList());
 	}
 
-	private static <SRC extends Result, TRG extends OafEntity> JavaRDD<Event> generateRelationEvents(final SparkSession spark,
+	private static <SRC extends Result, TRG extends OafEntity> JavaRDD<Event> generateRelationEvents(
+		final SparkSession spark,
 		final String graphPath,
 		final Class<SRC> sourceClass,
 		final Class<TRG> targetClass) {
 
-		final Dataset<SRC> sources = readPath(spark, graphPath + "/" + sourceClass.getSimpleName().toLowerCase(), sourceClass)
+		final Dataset<SRC> sources = readPath(
+			spark, graphPath + "/" + sourceClass.getSimpleName().toLowerCase(), sourceClass)
 				.filter(r -> r.getDataInfo().getDeletedbyinference());
 
-		final Dataset<TRG> targets = readPath(spark, graphPath + "/" + sourceClass.getSimpleName().toLowerCase(), targetClass);
+		final Dataset<TRG> targets = readPath(
+			spark, graphPath + "/" + sourceClass.getSimpleName().toLowerCase(), targetClass);
 
 		final Dataset<Relation> mergedRels = readPath(spark, graphPath + "/relation", Relation.class)
 			.filter(r -> r.getRelClass().equals(BrokerConstants.IS_MERGED_IN_CLASS));

dhp-workflows/dhp-broker-events/src/main/java/eu/dnetlib/dhp/broker/oa/matchers/relatedProjects/EnrichMissingProject.java

@@ -28,7 +28,8 @@ public class EnrichMissingProject
 		if (source.getRight().isEmpty()) {
 			return Arrays.asList();
 		} else {
-			return target.getRight()
+			return target
+				.getRight()
 				.stream()
 				.map(ConversionUtils::oafProjectToBrokerProject)
 				.map(p -> generateUpdateInfo(p, source, target))

dhp-workflows/dhp-broker-events/src/main/java/eu/dnetlib/dhp/broker/oa/matchers/relatedProjects/EnrichMoreProject.java

@@ -24,12 +24,14 @@ public class EnrichMoreProject extends UpdateMatcher<Pair<Result, List<Project>>
 	protected List<UpdateInfo<eu.dnetlib.broker.objects.Project>> findUpdates(final Pair<Result, List<Project>> source,
 		final Pair<Result, List<Project>> target) {
 
-		final Set<String> existingProjects = source.getRight()
+		final Set<String> existingProjects = source
+			.getRight()
 			.stream()
 			.map(Project::getId)
 			.collect(Collectors.toSet());
 
-		return target.getRight()
+		return target
+			.getRight()
 			.stream()
 			.filter(p -> !existingProjects.contains(p.getId()))
 			.map(ConversionUtils::oafProjectToBrokerProject)

dhp-workflows/dhp-broker-events/src/main/java/eu/dnetlib/dhp/broker/oa/matchers/relatedSoftware/EnrichMissingSoftware.java

@@ -29,7 +29,8 @@ public class EnrichMissingSoftware
 		if (source.getRight().isEmpty()) {
 			return Arrays.asList();
 		} else {
-			return target.getRight()
+			return target
+				.getRight()
 				.stream()
 				.map(ConversionUtils::oafSoftwareToBrokerSoftware)
 				.map(p -> generateUpdateInfo(p, source, target))

dhp-workflows/dhp-broker-events/src/main/java/eu/dnetlib/dhp/broker/oa/matchers/relatedSoftware/EnrichMoreSoftware.java

@@ -26,12 +26,14 @@ public class EnrichMoreSoftware
 		final Pair<Result, List<Software>> source,
 		final Pair<Result, List<Software>> target) {
 
-		final Set<String> existingSoftwares = source.getRight()
+		final Set<String> existingSoftwares = source
+			.getRight()
 			.stream()
 			.map(Software::getId)
 			.collect(Collectors.toSet());
 
-		return target.getRight()
+		return target
+			.getRight()
 			.stream()
 			.filter(p -> !existingSoftwares.contains(p.getId()))
 			.map(ConversionUtils::oafSoftwareToBrokerSoftware)

dhp-workflows/dhp-broker-events/src/main/java/eu/dnetlib/dhp/broker/oa/matchers/simple/EnrichMissingOpenAccess.java

@@ -28,7 +28,9 @@ public class EnrichMissingOpenAccess extends UpdateMatcher<Result, Instance> {
 			.filter(right -> right.equals(BrokerConstants.OPEN_ACCESS))
 			.count();
 
-		if (count > 0) { return Arrays.asList(); }
+		if (count > 0) {
+			return Arrays.asList();
+		}
 
 		return source
 			.getInstance()

dhp-workflows/dhp-broker-events/src/main/java/eu/dnetlib/dhp/broker/oa/util/BrokerConstants.java

@@ -15,7 +15,7 @@ public class BrokerConstants {
 	public static final String OPEN_ACCESS = "OPEN";
 	public static final String IS_MERGED_IN_CLASS = "isMergedIn";
 
-	public static final List<Class<? extends Result>> RESULT_CLASSES =
+	public static final List<Class<? extends Result>> RESULT_CLASSES = Arrays
-		Arrays.asList(Publication.class, Dataset.class, Software.class, OtherResearchProduct.class);
+		.asList(Publication.class, Dataset.class, Software.class, OtherResearchProduct.class);
 
 }

dhp-workflows/dhp-broker-events/src/main/java/eu/dnetlib/dhp/broker/oa/util/ConversionUtils.java

@@ -56,7 +56,13 @@ public class ConversionUtils {
 			.setOriginalId(d.getOriginalId().get(0))
 			.setTitles(structPropList(d.getTitle()))
 			.setPids(d.getPid().stream().map(ConversionUtils::oafPidToBrokerPid).collect(Collectors.toList()))
-			.setInstances(d.getInstance().stream().map(ConversionUtils::oafInstanceToBrokerInstances).flatMap(List::stream).collect(Collectors.toList()))
+			.setInstances(
+				d
+					.getInstance()
+					.stream()
+					.map(ConversionUtils::oafInstanceToBrokerInstances)
+					.flatMap(List::stream)
+					.collect(Collectors.toList()))
 			.setCollectedFrom(d.getCollectedfrom().stream().map(KeyValue::getValue).collect(Collectors.toList()))
 			: null;
 	}
@@ -74,11 +80,23 @@ public class ConversionUtils {
 			.setPublisher(fieldValue(result.getPublisher()))
 			.setEmbargoenddate(fieldValue(result.getEmbargoenddate()))
 			.setContributor(fieldList(result.getContributor()))
-			.setJournal(result instanceof Publication ? oafJournalToBrokerJournal(((Publication) result).getJournal()) : null)
+			.setJournal(
+				result instanceof Publication ? oafJournalToBrokerJournal(((Publication) result).getJournal()) : null)
 			.setCollectedFrom(result.getCollectedfrom().stream().map(KeyValue::getValue).collect(Collectors.toList()))
 			.setPids(result.getPid().stream().map(ConversionUtils::oafPidToBrokerPid).collect(Collectors.toList()))
-			.setInstances(result.getInstance().stream().map(ConversionUtils::oafInstanceToBrokerInstances).flatMap(List::stream).collect(Collectors.toList()))
+			.setInstances(
-			.setExternalReferences(result.getExternalReference().stream().map(ConversionUtils::oafExtRefToBrokerExtRef).collect(Collectors.toList()))
+				result
+					.getInstance()
+					.stream()
+					.map(ConversionUtils::oafInstanceToBrokerInstances)
+					.flatMap(List::stream)
+					.collect(Collectors.toList()))
+			.setExternalReferences(
+				result
+					.getExternalReference()
+					.stream()
+					.map(ConversionUtils::oafExtRefToBrokerExtRef)
+					.collect(Collectors.toList()))
 			: null;
 	}
 
@@ -100,7 +118,9 @@ public class ConversionUtils {
 	}
 
 	public static final eu.dnetlib.broker.objects.Project oafProjectToBrokerProject(final Project p) {
-		if (p == null) { return null; }
+		if (p == null) {
+			return null;
+		}
 
 		final eu.dnetlib.broker.objects.Project res = new eu.dnetlib.broker.objects.Project()
 			.setTitle(fieldValue(p.getTitle()))
@@ -136,20 +156,29 @@ public class ConversionUtils {
 	}
 
 	private static String fieldValue(final List<Field<String>> fl) {
-		return fl != null ? fl.stream().map(Field::getValue).filter(StringUtils::isNotBlank).findFirst().orElse(null) : null;
+		return fl != null ? fl.stream().map(Field::getValue).filter(StringUtils::isNotBlank).findFirst().orElse(null)
+			: null;
 	}
 
 	private static String structPropValue(final List<StructuredProperty> props) {
-		return props != null ? props.stream().map(StructuredProperty::getValue).filter(StringUtils::isNotBlank).findFirst().orElse(null) : null;
+		return props != null
+			? props.stream().map(StructuredProperty::getValue).filter(StringUtils::isNotBlank).findFirst().orElse(null)
+			: null;
 	}
 
 	private static List<String> fieldList(final List<Field<String>> fl) {
-		return fl != null ? fl.stream().map(Field::getValue).filter(StringUtils::isNotBlank).collect(Collectors.toList())
+		return fl != null
+			? fl.stream().map(Field::getValue).filter(StringUtils::isNotBlank).collect(Collectors.toList())
 			: new ArrayList<>();
 	}
 
 	private static List<String> structPropList(final List<StructuredProperty> props) {
-		return props != null ? props.stream().map(StructuredProperty::getValue).filter(StringUtils::isNotBlank).collect(Collectors.toList())
+		return props != null
+			? props
+				.stream()
+				.map(StructuredProperty::getValue)
+				.filter(StringUtils::isNotBlank)
+				.collect(Collectors.toList())
 			: new ArrayList<>();
 	}
 }

dhp-workflows/dhp-broker-events/src/main/java/eu/dnetlib/dhp/broker/oa/util/UpdateInfo.java

@@ -83,8 +83,20 @@ public final class UpdateInfo<T> {
 		compileHighlight.accept(hl, getHighlightValue());
 
 		final String provId = getSource().getOriginalId().stream().findFirst().orElse(null);
-		final String provRepo = getSource().getCollectedfrom().stream().map(KeyValue::getValue).findFirst().orElse(null);
+		final String provRepo = getSource()
-		final String provUrl = getSource().getInstance().stream().map(Instance::getUrl).flatMap(List::stream).findFirst().orElse(null);;
+			.getCollectedfrom()
+			.stream()
+			.map(KeyValue::getValue)
+			.findFirst()
+			.orElse(null);
+		final String provUrl = getSource()
+			.getInstance()
+			.stream()
+			.map(Instance::getUrl)
+			.flatMap(List::stream)
+			.findFirst()
+			.orElse(null);
+		;
 
 		final Provenance provenance = new Provenance().setId(provId).setRepositoryName(provRepo).setUrl(provUrl);
 

dhp-workflows/dhp-doiboost/pom.xml

@@ -0,0 +1,93 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+    <parent>
+        <artifactId>dhp-workflows</artifactId>
+        <groupId>eu.dnetlib.dhp</groupId>
+        <version>1.2.2-SNAPSHOT</version>
+    </parent>
+    <modelVersion>4.0.0</modelVersion>
+
+    <artifactId>dhp-doiboost</artifactId>
+
+    <build>
+        <plugins>
+            <plugin>
+                <groupId>net.alchim31.maven</groupId>
+                <artifactId>scala-maven-plugin</artifactId>
+                <version>4.0.1</version>
+                <executions>
+                    <execution>
+                        <id>scala-compile-first</id>
+                        <phase>initialize</phase>
+                        <goals>
+                            <goal>add-source</goal>
+                            <goal>compile</goal>
+                        </goals>
+                    </execution>
+                    <execution>
+                        <id>scala-test-compile</id>
+                        <phase>process-test-resources</phase>
+                        <goals>
+                            <goal>testCompile</goal>
+                        </goals>
+                    </execution>
+                </executions>
+                <configuration>
+                    <scalaVersion>${scala.version}</scalaVersion>
+                </configuration>
+            </plugin>
+        </plugins>
+
+    </build>
+
+
+
+
+    <dependencies>
+        <dependency>
+            <groupId>org.apache.hadoop</groupId>
+            <artifactId>hadoop-client</artifactId>
+        </dependency>
+        <dependency>
+            <groupId>org.apache.httpcomponents</groupId>
+            <artifactId>httpclient</artifactId>
+            <version>4.3.4</version>
+        </dependency>
+        <dependency>
+            <groupId>eu.dnetlib.dhp</groupId>
+            <artifactId>dhp-common</artifactId>
+            <version>${project.version}</version>
+           <exclusions>
+               <exclusion>
+                   <groupId>org.apache.cxf</groupId>
+                   <artifactId>cxf-rt-transports-http</artifactId>
+               </exclusion>
+           </exclusions>
+        </dependency>
+        <dependency>
+            <groupId>eu.dnetlib.dhp</groupId>
+            <artifactId>dhp-schemas</artifactId>
+            <version>${project.version}</version>
+        </dependency>
+        <dependency>
+            <groupId>com.jayway.jsonpath</groupId>
+            <artifactId>json-path</artifactId>
+        </dependency>
+
+        <dependency>
+            <groupId>org.apache.spark</groupId>
+            <artifactId>spark-core_2.11</artifactId>
+        </dependency>
+
+        <dependency>
+            <groupId>org.apache.spark</groupId>
+            <artifactId>spark-sql_2.11</artifactId>
+        </dependency>
+
+
+
+    </dependencies>
+
+
+</project>

dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/DoiBoostMappingUtil.scala

@@ -0,0 +1,374 @@
+package eu.dnetlib.doiboost
+
+import eu.dnetlib.dhp.schema.action.AtomicAction
+import eu.dnetlib.dhp.schema.oaf.{DataInfo, Dataset, Field, Instance, KeyValue, Oaf, Organization, Publication, Qualifier, Relation, Result, StructuredProperty}
+import eu.dnetlib.dhp.utils.DHPUtils
+import org.apache.commons.lang3.StringUtils
+import org.codehaus.jackson.map.ObjectMapper
+import org.json4s
+import org.json4s.DefaultFormats
+import org.json4s.jackson.JsonMethods.parse
+import org.slf4j.{Logger, LoggerFactory}
+
+import scala.collection.JavaConverters._
+import scala.io.Source
+
+
+case class HostedByItemType(id: String, officialname: String, issn: String, eissn: String, lissn: String, openAccess: Boolean) {}
+
+case class DoiBoostAffiliation(PaperId:Long, AffiliationId:Long, GridId:Option[String], OfficialPage:Option[String], DisplayName:Option[String]){}
+
+object DoiBoostMappingUtil {
+  def getUnknownCountry(): Qualifier = {
+    createQualifier("UNKNOWN","UNKNOWN","dnet:countries","dnet:countries")
+  }
+
+
+
+  def generateMAGAffiliationId(affId: String): String = {
+    s"20|microsoft___$SEPARATOR${DHPUtils.md5(affId)}"
+  }
+
+
+  val logger: Logger = LoggerFactory.getLogger(getClass)
+
+  //STATIC STRING
+  val MAG = "microsoft"
+  val MAG_NAME = "Microsoft Academic Graph"
+  val ORCID = "ORCID"
+  val CROSSREF = "Crossref"
+  val UNPAYWALL = "UnpayWall"
+  val GRID_AC = "grid.ac"
+  val WIKPEDIA = "wikpedia"
+  val doiBoostNSPREFIX = "doiboost____"
+  val OPENAIRE_PREFIX = "openaire____"
+  val SEPARATOR = "::"
+  val DNET_LANGUAGES = "dnet:languages"
+  val PID_TYPES = "dnet:pid_types"
+
+  val invalidName = List(",", "none none", "none, none", "none &na;", "(:null)", "test test test", "test test", "test", "&na; &na;")
+
+  def toActionSet(item:Oaf) :(String, String) = {
+    val mapper = new ObjectMapper()
+
+    item match {
+      case dataset: Dataset =>
+        val a: AtomicAction[Dataset] = new AtomicAction[Dataset]
+        a.setClazz(classOf[Dataset])
+        a.setPayload(dataset)
+        (dataset.getClass.getCanonicalName, mapper.writeValueAsString(a))
+      case publication: Publication =>
+        val a: AtomicAction[Publication] = new AtomicAction[Publication]
+        a.setClazz(classOf[Publication])
+        a.setPayload(publication)
+        (publication.getClass.getCanonicalName, mapper.writeValueAsString(a))
+      case organization: Organization =>
+        val a: AtomicAction[Organization] = new AtomicAction[Organization]
+        a.setClazz(classOf[Organization])
+        a.setPayload(organization)
+        (organization.getClass.getCanonicalName, mapper.writeValueAsString(a))
+      case relation: Relation =>
+        val a: AtomicAction[Relation] = new AtomicAction[Relation]
+        a.setClazz(classOf[Relation])
+        a.setPayload(relation)
+        (relation.getClass.getCanonicalName, mapper.writeValueAsString(a))
+      case _ =>
+        null
+    }
+
+  }
+
+
+  def toHostedByItem(input:String): (String, HostedByItemType) = {
+    implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
+
+    lazy val json: json4s.JValue = parse(input)
+    val c :Map[String,HostedByItemType] = json.extract[Map[String, HostedByItemType]]
+    (c.keys.head, c.values.head)
+  }
+
+
+  def toISSNPair(publication: Publication) : (String, Publication) = {
+    val issn = if (publication.getJournal == null) null else publication.getJournal.getIssnPrinted
+    val eissn =if (publication.getJournal == null) null else  publication.getJournal.getIssnOnline
+    val lissn =if (publication.getJournal == null) null else  publication.getJournal.getIssnLinking
+
+    if (issn!= null && issn.nonEmpty)
+      (issn, publication)
+    else if(eissn!= null && eissn.nonEmpty)
+      (eissn, publication)
+    else if(lissn!= null && lissn.nonEmpty)
+      (lissn, publication)
+    else
+      (publication.getId, publication)
+  }
+
+
+
+
+  def generateGridAffiliationId(gridId:String) :String = {
+    s"20|grid________::${DHPUtils.md5(gridId.toLowerCase().trim())}"
+  }
+
+
+  def fixResult(result: Dataset) :Dataset = {
+    val instanceType = result.getInstance().asScala.find(i => i.getInstancetype != null && i.getInstancetype.getClassid.nonEmpty)
+    if (instanceType.isDefined) {
+      result.getInstance().asScala.foreach(i => i.setInstancetype(instanceType.get.getInstancetype))
+    }
+    result.getInstance().asScala.foreach(i => {
+      i.setHostedby(getUbknownHostedBy())
+    })
+    result
+  }
+
+  def getUbknownHostedBy():KeyValue = {
+    val hb = new KeyValue
+    hb.setValue("Unknown Repository")
+    hb.setKey(s"10|$OPENAIRE_PREFIX::55045bd2a65019fd8e6741a755395c8c")
+    hb
+
+  }
+
+
+  def getOpenAccessQualifier():Qualifier = {
+    createQualifier("OPEN","Open Access","dnet:access_modes", "dnet:access_modes")
+
+  }
+
+  def getRestrictedQualifier():Qualifier = {
+    createQualifier("RESTRICTED","Restricted","dnet:access_modes", "dnet:access_modes")
+
+  }
+
+  def fixPublication(input:((String,Publication), (String,HostedByItemType))): Publication = {
+
+    val publication = input._1._2
+
+    val item = if (input._2 != null) input._2._2 else null
+
+
+    val instanceType = publication.getInstance().asScala.find(i => i.getInstancetype != null && i.getInstancetype.getClassid.nonEmpty)
+
+    if (instanceType.isDefined) {
+      publication.getInstance().asScala.foreach(i => i.setInstancetype(instanceType.get.getInstancetype))
+    }
+
+
+    publication.getInstance().asScala.foreach(i => {
+      val hb = new KeyValue
+      if (item != null) {
+        hb.setValue(item.officialname)
+        hb.setKey(generateDSId(item.id))
+        if (item.openAccess)
+          i.setAccessright(getOpenAccessQualifier())
+        publication.setBestaccessright(getOpenAccessQualifier())
+      }
+      else {
+        hb.setValue("Unknown Repository")
+        hb.setKey(s"10|$OPENAIRE_PREFIX::55045bd2a65019fd8e6741a755395c8c")
+      }
+      i.setHostedby(hb)
+    })
+
+    val ar = publication.getInstance().asScala.filter(i => i.getInstancetype != null && i.getAccessright!= null && i.getAccessright.getClassid!= null).map(f=> f.getAccessright.getClassid)
+    if (ar.nonEmpty) {
+      if(ar.contains("OPEN")){
+        publication.setBestaccessright(getOpenAccessQualifier())
+      }
+      else {
+        publication.setBestaccessright(getRestrictedQualifier())
+      }
+    }
+    publication
+  }
+
+
+  def generateDSId(input: String): String = {
+
+    val b = StringUtils.substringBefore(input, "::")
+    val a = StringUtils.substringAfter(input, "::")
+    s"10|${b}::${DHPUtils.md5(a)}"
+  }
+
+
+  def generateDataInfo(): DataInfo = {
+    generateDataInfo("0.9")
+  }
+
+
+  def filterPublication(publication: Publication): Boolean = {
+
+    //Case empty publication
+    if (publication == null)
+      return false
+
+    //Case publication with no title
+    if (publication.getTitle == null || publication.getTitle.size == 0)
+      return false
+
+
+    val s = publication.getTitle.asScala.count(p => p.getValue != null
+      && p.getValue.nonEmpty && !p.getValue.equalsIgnoreCase("[NO TITLE AVAILABLE]"))
+
+    if (s == 0)
+      return false
+
+    // fixes #4360 (test publisher)
+    val publisher = if (publication.getPublisher != null) publication.getPublisher.getValue else null
+
+    if (publisher != null && (publisher.equalsIgnoreCase("Test accounts") || publisher.equalsIgnoreCase("CrossRef Test Account"))) {
+      return false;
+    }
+
+    //Publication with no Author
+    if (publication.getAuthor == null || publication.getAuthor.size() == 0)
+      return false
+
+
+    //filter invalid author
+    val authors = publication.getAuthor.asScala.map(s => {
+      if (s.getFullname.nonEmpty) {
+        s.getFullname
+      }
+      else
+        s"${
+          s.getName
+        } ${
+          s.getSurname
+        }"
+    })
+
+    val c = authors.count(isValidAuthorName)
+    if (c == 0)
+      return false
+
+    // fixes #4368
+    if (authors.count(s => s.equalsIgnoreCase("Addie Jackson")) > 0 && "Elsevier BV".equalsIgnoreCase(publication.getPublisher.getValue))
+      return false
+
+    true
+  }
+
+
+  def isValidAuthorName(fullName: String): Boolean = {
+    if (fullName == null || fullName.isEmpty)
+      return false
+    if (invalidName.contains(fullName.toLowerCase.trim))
+      return false
+    true
+  }
+
+
+  def generateDataInfo(trust: String): DataInfo = {
+    val di = new DataInfo
+    di.setDeletedbyinference(false)
+    di.setInferred(false)
+    di.setInvisible(false)
+    di.setTrust(trust)
+    di.setProvenanceaction(createQualifier("sysimport:actionset", "dnet:provenanceActions"))
+    di
+  }
+
+
+  def createSP(value: String, classId: String, schemeId: String): StructuredProperty = {
+    val sp = new StructuredProperty
+    sp.setQualifier(createQualifier(classId, schemeId))
+    sp.setValue(value)
+    sp
+
+  }
+
+  def createSP(value: String, classId: String, schemeId: String, dataInfo: DataInfo): StructuredProperty = {
+    val sp = new StructuredProperty
+    sp.setQualifier(createQualifier(classId, schemeId))
+    sp.setValue(value)
+    sp.setDataInfo(dataInfo)
+    sp
+
+  }
+
+  def createCrossrefCollectedFrom(): KeyValue = {
+
+    val cf = new KeyValue
+    cf.setValue(CROSSREF)
+    cf.setKey("10|" + OPENAIRE_PREFIX + SEPARATOR + DHPUtils.md5(CROSSREF.toLowerCase))
+    cf
+
+  }
+
+
+  def createUnpayWallCollectedFrom(): KeyValue = {
+
+    val cf = new KeyValue
+    cf.setValue(UNPAYWALL)
+    cf.setKey("10|" + OPENAIRE_PREFIX + SEPARATOR + DHPUtils.md5(UNPAYWALL.toLowerCase))
+    cf
+
+  }
+
+  def createORIDCollectedFrom(): KeyValue = {
+
+    val cf = new KeyValue
+    cf.setValue(ORCID)
+    cf.setKey("10|" + OPENAIRE_PREFIX + SEPARATOR + DHPUtils.md5(ORCID.toLowerCase))
+    cf
+
+  }
+
+
+  def generateIdentifier (oaf: Result, doi: String): String = {
+    val id = DHPUtils.md5 (doi.toLowerCase)
+    if (oaf.isInstanceOf[Dataset] )
+      return s"60|${
+        doiBoostNSPREFIX
+      }${
+        SEPARATOR
+      }${
+        id
+      }"
+    s"50|${
+      doiBoostNSPREFIX
+    }${
+      SEPARATOR
+    }${
+      id
+    }"
+  }
+
+
+
+
+  def createMAGCollectedFrom(): KeyValue = {
+
+    val cf = new KeyValue
+    cf.setValue(MAG_NAME)
+    cf.setKey("10|" + OPENAIRE_PREFIX + SEPARATOR + DHPUtils.md5(MAG))
+    cf
+
+  }
+
+  def createQualifier(clsName: String, clsValue: String, schName: String, schValue: String): Qualifier = {
+    val q = new Qualifier
+    q.setClassid(clsName)
+    q.setClassname(clsValue)
+    q.setSchemeid(schName)
+    q.setSchemename(schValue)
+    q
+  }
+
+  def createQualifier(cls: String, sch: String): Qualifier = {
+    createQualifier(cls, cls, sch, sch)
+  }
+
+
+  def asField[T](value: T): Field[T] = {
+    val tmp = new Field[T]
+    tmp.setValue(value)
+    tmp
+
+
+  }
+
+
+}

dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/SparkGenerateDOIBoostActionSet.scala

@@ -0,0 +1,80 @@
+package eu.dnetlib.doiboost
+
+import eu.dnetlib.dhp.application.ArgumentApplicationParser
+import eu.dnetlib.dhp.schema.action.AtomicAction
+import eu.dnetlib.dhp.schema.oaf.{Organization, Publication, Relation, Dataset => OafDataset}
+import org.apache.commons.io.IOUtils
+import org.apache.hadoop.io.Text
+import org.apache.hadoop.io.compress.GzipCodec
+import org.apache.hadoop.mapred.SequenceFileOutputFormat
+import org.apache.spark.SparkConf
+import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
+import org.slf4j.{Logger, LoggerFactory}
+
+object SparkGenerateDOIBoostActionSet {
+  val logger: Logger = LoggerFactory.getLogger(getClass)
+  def main(args: Array[String]): Unit = {
+
+    val conf: SparkConf = new SparkConf()
+    val parser = new ArgumentApplicationParser(IOUtils.toString(getClass.getResourceAsStream("/eu/dnetlib/dhp/doiboost/generate_doiboost_as_params.json")))
+    parser.parseArgument(args)
+    val spark: SparkSession =
+      SparkSession
+        .builder()
+        .config(conf)
+        .appName(getClass.getSimpleName)
+        .master(parser.get("master")).getOrCreate()
+
+    implicit val mapEncoderPub: Encoder[Publication] = Encoders.kryo[Publication]
+    implicit val mapEncoderOrg: Encoder[Organization] = Encoders.kryo[Organization]
+    implicit val mapEncoderDataset: Encoder[OafDataset] = Encoders.kryo[OafDataset]
+    implicit val mapEncoderRel: Encoder[Relation] = Encoders.kryo[Relation]
+    implicit val mapEncoderAS: Encoder[(String, String)] = Encoders.tuple(Encoders.STRING, Encoders.STRING)
+
+    implicit val mapEncoderAtomiAction: Encoder[AtomicAction[OafDataset]] = Encoders.kryo[AtomicAction[OafDataset]]
+
+    val dbPublicationPath           = parser.get("dbPublicationPath")
+    val dbDatasetPath               = parser.get("dbDatasetPath")
+    val crossRefRelation            = parser.get("crossRefRelation")
+    val dbaffiliationRelationPath   = parser.get("dbaffiliationRelationPath")
+    val dbOrganizationPath          = parser.get("dbOrganizationPath")
+    val workingDirPath              = parser.get("targetPath")
+
+    spark.read.load(dbDatasetPath).as[OafDataset]
+      .map(d =>DoiBoostMappingUtil.fixResult(d))
+      .map(d=>DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING))
+      .write.mode(SaveMode.Overwrite).save(s"$workingDirPath/actionSet")
+
+    spark.read.load(dbPublicationPath).as[Publication]
+      .map(d=>DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING))
+      .write.mode(SaveMode.Append).save(s"$workingDirPath/actionSet")
+
+    spark.read.load(dbOrganizationPath).as[Organization]
+      .map(d=>DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING))
+      .write.mode(SaveMode.Append).save(s"$workingDirPath/actionSet")
+
+
+    spark.read.load(crossRefRelation).as[Relation]
+      .map(d=>DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING))
+      .write.mode(SaveMode.Append).save(s"$workingDirPath/actionSet")
+
+    spark.read.load(dbaffiliationRelationPath).as[Relation]
+      .map(d=>DoiBoostMappingUtil.toActionSet(d))(Encoders.tuple(Encoders.STRING, Encoders.STRING))
+      .write.mode(SaveMode.Append).save(s"$workingDirPath/actionSet")
+
+
+    val d: Dataset[(String, String)] =spark.read.load(s"$workingDirPath/actionSet").as[(String,String)]
+
+    d.rdd.map(s => (new Text(s._1), new Text(s._2))).saveAsHadoopFile(s"$workingDirPath/rawset", classOf[Text], classOf[Text], classOf[SequenceFileOutputFormat[Text,Text]], classOf[GzipCodec])
+
+
+
+
+
+
+
+
+
+  }
+
+}

dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/SparkGenerateDoiBoost.scala

@@ -0,0 +1,140 @@
+package eu.dnetlib.doiboost
+
+import eu.dnetlib.dhp.application.ArgumentApplicationParser
+import eu.dnetlib.dhp.schema.oaf.{Publication, Relation, Dataset => OafDataset, Organization}
+import eu.dnetlib.doiboost.mag.ConversionUtil
+import org.apache.commons.io.IOUtils
+import org.apache.spark.SparkConf
+import org.apache.spark.sql.functions.col
+import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
+import org.slf4j.{Logger, LoggerFactory}
+import scala.collection.JavaConverters._
+
+object SparkGenerateDoiBoost {
+
+  def main(args: Array[String]): Unit = {
+
+    val logger: Logger = LoggerFactory.getLogger(getClass)
+    val conf: SparkConf = new SparkConf()
+    val parser = new ArgumentApplicationParser(IOUtils.toString(getClass.getResourceAsStream("/eu/dnetlib/dhp/doiboost/generate_doiboost_params.json")))
+    parser.parseArgument(args)
+    val spark: SparkSession =
+      SparkSession
+        .builder()
+        .config(conf)
+        .appName(getClass.getSimpleName)
+        .master(parser.get("master")).getOrCreate()
+
+    import spark.implicits._
+
+    val hostedByMapPath = parser.get("hostedByMapPath")
+    val workingDirPath = parser.get("workingDirPath")
+
+
+    implicit val mapEncoderPub: Encoder[Publication] = Encoders.kryo[Publication]
+    implicit val mapEncoderOrg: Encoder[Organization] = Encoders.kryo[Organization]
+    implicit val mapEncoderDataset: Encoder[OafDataset] = Encoders.kryo[OafDataset]
+    implicit val tupleForJoinEncoder: Encoder[(String, Publication)] = Encoders.tuple(Encoders.STRING, mapEncoderPub)
+    implicit val mapEncoderRel: Encoder[Relation] = Encoders.kryo[Relation]
+
+    logger.info("Phase 2) Join Crossref with UnpayWall")
+
+    val crossrefPublication: Dataset[(String, Publication)] = spark.read.load(s"$workingDirPath/crossrefPublication").as[Publication].map(p => (p.getId, p))
+    val uwPublication: Dataset[(String, Publication)] = spark.read.load(s"$workingDirPath/uwPublication").as[Publication].map(p => (p.getId, p))
+
+    def applyMerge(item:((String, Publication), (String, Publication))) : Publication =
+    {
+      val crossrefPub = item._1._2
+      if (item._2!= null) {
+        val otherPub = item._2._2
+        if (otherPub != null) {
+          crossrefPub.mergeFrom(otherPub)
+        }
+      }
+      crossrefPub
+    }
+    crossrefPublication.joinWith(uwPublication, crossrefPublication("_1").equalTo(uwPublication("_1")), "left").map(applyMerge).write.mode(SaveMode.Overwrite).save(s"$workingDirPath/firstJoin")
+    logger.info("Phase 3) Join Result with ORCID")
+    val fj: Dataset[(String, Publication)] = spark.read.load(s"$workingDirPath/firstJoin").as[Publication].map(p => (p.getId, p))
+    val orcidPublication: Dataset[(String, Publication)] = spark.read.load(s"$workingDirPath/orcidPublication").as[Publication].map(p => (p.getId, p))
+    fj.joinWith(orcidPublication, fj("_1").equalTo(orcidPublication("_1")), "left").map(applyMerge).write.mode(SaveMode.Overwrite).save(s"$workingDirPath/secondJoin")
+
+    logger.info("Phase 3) Join Result with MAG")
+    val sj: Dataset[(String, Publication)] = spark.read.load(s"$workingDirPath/secondJoin").as[Publication].map(p => (p.getId, p))
+
+    val magPublication: Dataset[(String, Publication)] = spark.read.load(s"$workingDirPath/magPublication").as[Publication].map(p => (p.getId, p))
+    sj.joinWith(magPublication, sj("_1").equalTo(magPublication("_1")), "left").map(applyMerge).write.mode(SaveMode.Overwrite).save(s"$workingDirPath/doiBoostPublication")
+
+
+    val doiBoostPublication: Dataset[(String,Publication)] = spark.read.load(s"$workingDirPath/doiBoostPublication").as[Publication].filter(p=>DoiBoostMappingUtil.filterPublication(p)).map(DoiBoostMappingUtil.toISSNPair)(tupleForJoinEncoder)
+
+    val hostedByDataset : Dataset[(String, HostedByItemType)] = spark.createDataset(spark.sparkContext.textFile(hostedByMapPath).map(DoiBoostMappingUtil.toHostedByItem))
+
+
+    doiBoostPublication.joinWith(hostedByDataset, doiBoostPublication("_1").equalTo(hostedByDataset("_1")), "left")
+      .map(DoiBoostMappingUtil.fixPublication)
+      .write.mode(SaveMode.Overwrite).save(s"$workingDirPath/doiBoostPublicationFiltered")
+
+    val affiliationPath = parser.get("affiliationPath")
+    val paperAffiliationPath = parser.get("paperAffiliationPath")
+
+    val affiliation = spark.read.load(affiliationPath).select(col("AffiliationId"), col("GridId"), col("OfficialPage"), col("DisplayName"))
+
+    val paperAffiliation = spark.read.load(paperAffiliationPath).select(col("AffiliationId").alias("affId"), col("PaperId"))
+
+
+    val a:Dataset[DoiBoostAffiliation] = paperAffiliation
+      .joinWith(affiliation, paperAffiliation("affId").equalTo(affiliation("AffiliationId")))
+      .select(col("_1.PaperId"), col("_2.AffiliationId"), col("_2.GridId"), col("_2.OfficialPage"), col("_2.DisplayName")).as[DoiBoostAffiliation]
+
+
+
+    val magPubs:Dataset[(String,Publication)]= spark.read.load(s"$workingDirPath/doiBoostPublicationFiltered").as[Publication]
+      .map(p => (ConversionUtil.extractMagIdentifier(p.getOriginalId.asScala), p))(tupleForJoinEncoder).filter(s =>s._1!= null )
+
+
+    magPubs.joinWith(a,magPubs("_1").equalTo(a("PaperId"))).flatMap(item => {
+      val pub:Publication = item._1._2
+      val affiliation = item._2
+      val affId:String = if (affiliation.GridId.isDefined) DoiBoostMappingUtil.generateGridAffiliationId(affiliation.GridId.get) else  DoiBoostMappingUtil.generateMAGAffiliationId(affiliation.AffiliationId.toString)
+      val r:Relation = new Relation
+      r.setSource(pub.getId)
+      r.setTarget(affId)
+      r.setRelType("resultOrganization")
+      r.setRelClass("hasAuthorInstitution")
+      r.setSubRelType("affiliation")
+      r.setDataInfo(pub.getDataInfo)
+      r.setCollectedfrom(List(DoiBoostMappingUtil.createMAGCollectedFrom()).asJava)
+      val r1:Relation = new Relation
+      r1.setTarget(pub.getId)
+      r1.setSource(affId)
+      r1.setRelType("resultOrganization")
+      r1.setRelClass("isAuthorInstitutionOf")
+      r1.setSubRelType("affiliation")
+      r1.setDataInfo(pub.getDataInfo)
+      r1.setCollectedfrom(List(DoiBoostMappingUtil.createMAGCollectedFrom()).asJava)
+      List(r, r1)
+    })(mapEncoderRel).write.mode(SaveMode.Overwrite).save(s"$workingDirPath/doiBoostPublicationAffiliation")
+
+
+    magPubs.joinWith(a,magPubs("_1").equalTo(a("PaperId"))).map( item => {
+      val affiliation = item._2
+      if (affiliation.GridId.isEmpty) {
+        val o = new Organization
+        o.setCollectedfrom(List(DoiBoostMappingUtil.createMAGCollectedFrom()).asJava)
+        o.setDataInfo(DoiBoostMappingUtil.generateDataInfo())
+        o.setId(DoiBoostMappingUtil.generateMAGAffiliationId(affiliation.AffiliationId.toString))
+        o.setOriginalId(List(affiliation.AffiliationId.toString).asJava)
+        if (affiliation.DisplayName.nonEmpty)
+          o.setLegalname(DoiBoostMappingUtil.asField(affiliation.DisplayName.get))
+        if (affiliation.OfficialPage.isDefined)
+          o.setWebsiteurl(DoiBoostMappingUtil.asField(affiliation.OfficialPage.get))
+        o.setCountry(DoiBoostMappingUtil.getUnknownCountry())
+        o
+      }
+      else
+        null
+    }).filter(o=> o!=null).write.mode(SaveMode.Overwrite).save(s"$workingDirPath/doiBoostOrganization")
+    }
+
+}

dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/Crossref2Oaf.scala

@@ -0,0 +1,440 @@
+package eu.dnetlib.doiboost.crossref
+
+import eu.dnetlib.dhp.schema.oaf._
+import eu.dnetlib.dhp.utils.DHPUtils
+import eu.dnetlib.doiboost.DoiBoostMappingUtil._
+import org.apache.commons.lang.StringUtils
+import org.json4s
+import org.json4s.DefaultFormats
+import org.json4s.JsonAST._
+import org.json4s.jackson.JsonMethods._
+import org.slf4j.{Logger, LoggerFactory}
+
+import scala.collection.JavaConverters._
+import scala.collection.mutable
+import scala.util.matching.Regex
+
+case class mappingAffiliation(name: String) {}
+
+case class mappingAuthor(given: Option[String], family: String, ORCID: Option[String], affiliation: Option[mappingAffiliation]) {}
+
+case class mappingFunder(name: String, DOI: Option[String], award: Option[List[String]]) {}
+
+
+case object Crossref2Oaf {
+  val logger: Logger = LoggerFactory.getLogger(Crossref2Oaf.getClass)
+
+  val mappingCrossrefType = Map(
+    "book-section" -> "publication",
+    "book" -> "publication",
+    "book-chapter" -> "publication",
+    "book-part" -> "publication",
+    "book-series" -> "publication",
+    "book-set" -> "publication",
+    "book-track" -> "publication",
+    "edited-book" -> "publication",
+    "reference-book" -> "publication",
+    "monograph" -> "publication",
+    "journal-article" -> "publication",
+    "dissertation" -> "publication",
+    "other" -> "publication",
+    "peer-review" -> "publication",
+    "proceedings" -> "publication",
+    "proceedings-article" -> "publication",
+    "reference-entry" -> "publication",
+    "report" -> "publication",
+    "report-series" -> "publication",
+    "standard" -> "publication",
+    "standard-series" -> "publication",
+    "posted-content" -> "publication",
+    "dataset" -> "dataset"
+  )
+
+
+  val mappingCrossrefSubType = Map(
+    "book-section" -> "0013 Part of book or chapter of book",
+    "book" -> "0002 Book",
+    "book-chapter" -> "0013 Part of book or chapter of book",
+    "book-part" -> "0013 Part of book or chapter of book",
+    "book-series" -> "0002 Book",
+    "book-set" -> "0002 Book",
+    "book-track" -> "0002 Book",
+    "edited-book" -> "0002 Book",
+    "reference-book" -> "0002 Book",
+    "monograph" -> "0002 Book",
+    "journal-article" -> "0001 Article",
+    "dissertation" -> "0006 Doctoral thesis",
+    "other" -> "0038 Other literature type",
+    "peer-review" -> "0015 Review",
+    "proceedings" -> "0004 Conference object",
+    "proceedings-article" -> "0004 Conference object",
+    "reference-entry" -> "0013 Part of book or chapter of book",
+    "report" -> "0017 Report",
+    "report-series" -> "0017 Report",
+    "standard" -> "0038 Other literature type",
+    "standard-series" -> "0038 Other literature type",
+    "dataset" -> "0021 Dataset",
+    "preprint" -> "0016 Preprint",
+    "report" -> "0017 Report"
+  )
+
+  def mappingResult(result: Result, json: JValue, cobjCategory: String): Result = {
+    implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
+
+    //MAPPING Crossref DOI into PID
+    val doi: String = (json \ "DOI").extract[String]
+    result.setPid(List(createSP(doi, "doi", PID_TYPES)).asJava)
+
+    //MAPPING Crossref DOI into OriginalId
+    //and Other Original Identifier of dataset like clinical-trial-number
+    val clinicalTrialNumbers = for (JString(ctr) <- json \ "clinical-trial-number") yield ctr
+    val alternativeIds = for (JString(ids) <- json \ "alternative-id") yield ids
+    val tmp = clinicalTrialNumbers ::: alternativeIds ::: List(doi)
+
+    result.setOriginalId(tmp.filter(id => id != null).asJava)
+
+    //Set identifier as {50|60} | doiboost____::md5(DOI)
+    result.setId(generateIdentifier(result, doi))
+
+    // Add DataInfo
+    result.setDataInfo(generateDataInfo())
+
+    result.setLastupdatetimestamp((json \ "indexed" \ "timestamp").extract[Long])
+    result.setDateofcollection((json \ "indexed" \ "date-time").extract[String])
+
+    result.setCollectedfrom(List(createCrossrefCollectedFrom()).asJava)
+
+    // Publisher ( Name of work's publisher mapped into  Result/Publisher)
+    val publisher = (json \ "publisher").extractOrElse[String](null)
+    if (publisher!= null && publisher.nonEmpty)
+      result.setPublisher(asField(publisher))
+
+
+    // TITLE
+    val mainTitles = for {JString(title) <- json \ "title" if title.nonEmpty} yield createSP(title, "main title", "dnet:dataCite_title")
+    val originalTitles = for {JString(title) <- json \ "original-title" if title.nonEmpty} yield createSP(title, "alternative title", "dnet:dataCite_title")
+    val shortTitles = for {JString(title) <- json \ "short-title" if title.nonEmpty} yield createSP(title, "alternative title", "dnet:dataCite_title")
+    val subtitles = for {JString(title) <- json \ "subtitle" if title.nonEmpty} yield createSP(title, "subtitle", "dnet:dataCite_title")
+    result.setTitle((mainTitles ::: originalTitles ::: shortTitles ::: subtitles).asJava)
+
+    // DESCRIPTION
+    val descriptionList = for {JString(description) <- json \ "abstract"} yield asField(description)
+    result.setDescription(descriptionList.asJava)
+
+    // Source
+    val sourceList = for {JString(source) <- json \ "source" if source!= null && source.nonEmpty} yield asField(source)
+    result.setSource(sourceList.asJava)
+
+    //RELEVANT DATE Mapping
+    val createdDate = generateDate((json \ "created" \ "date-time").extract[String], (json \ "created" \ "date-parts").extract[List[List[Int]]], "created", "dnet:dataCite_date")
+    val postedDate = generateDate((json \ "posted" \ "date-time").extractOrElse[String](null), (json \ "posted" \ "date-parts").extract[List[List[Int]]], "available", "dnet:dataCite_date")
+    val acceptedDate = generateDate((json \ "accepted" \ "date-time").extractOrElse[String](null), (json \ "accepted" \ "date-parts").extract[List[List[Int]]], "accepted", "dnet:dataCite_date")
+    val publishedPrintDate = generateDate((json \ "published-print" \ "date-time").extractOrElse[String](null), (json \ "published-print" \ "date-parts").extract[List[List[Int]]], "published-print", "dnet:dataCite_date")
+    val publishedOnlineDate = generateDate((json \ "published-online" \ "date-time").extractOrElse[String](null), (json \ "published-online" \ "date-parts").extract[List[List[Int]]], "published-online", "dnet:dataCite_date")
+
+    val issuedDate = extractDate((json \ "issued" \ "date-time").extractOrElse[String](null), (json \ "issued" \ "date-parts").extract[List[List[Int]]])
+    if (StringUtils.isNotBlank(issuedDate)) {
+      result.setDateofacceptance(asField(issuedDate))
+    }
+    else {
+      result.setDateofacceptance(asField(createdDate.getValue))
+    }
+    result.setRelevantdate(List(createdDate, postedDate, acceptedDate, publishedOnlineDate, publishedPrintDate).filter(p => p != null).asJava)
+
+    //Mapping Subject
+    val subjectList:List[String] = (json \ "subject").extractOrElse[List[String]](List())
+
+    if (subjectList.nonEmpty) {
+      result.setSubject(subjectList.map(s=> createSP(s, "keywords", "dnet:subject_classification_typologies")).asJava)
+    }
+
+
+
+    //Mapping Author
+    val authorList: List[mappingAuthor] = (json \ "author").extractOrElse[List[mappingAuthor]](List())
+    result.setAuthor(authorList.map(a => generateAuhtor(a.given.orNull, a.family, a.ORCID.orNull)).asJava)
+
+    // Mapping instance
+    val instance = new Instance()
+    val license = for {
+      JString(lic) <- json \ "license" \ "URL"
+    } yield asField(lic)
+    val l = license.filter(d => StringUtils.isNotBlank(d.getValue))
+    if (l.nonEmpty)
+      instance.setLicense(l.head)
+
+
+    val has_review = (json \ "relation" \"has-review" \ "id")
+
+    if(has_review != JNothing)
+      instance.setRefereed(asField("peerReviewed"))
+
+
+    instance.setAccessright(getRestrictedQualifier())
+    result.setInstance(List(instance).asJava)
+    instance.setInstancetype(createQualifier(cobjCategory.substring(0, 4), cobjCategory.substring(5), "dnet:publication_resource", "dnet:publication_resource"))
+    result.setResourcetype(createQualifier(cobjCategory.substring(0, 4),"dnet:dataCite_resource"))
+
+    instance.setCollectedfrom(createCrossrefCollectedFrom())
+    if (StringUtils.isNotBlank(issuedDate)) {
+      instance.setDateofacceptance(asField(issuedDate))
+    }
+    val s: String = (json \ "URL").extract[String]
+    val links: List[String] = ((for {JString(url) <- json \ "link" \ "URL"} yield url) ::: List(s)).filter(p => p != null).distinct
+    if (links.nonEmpty)
+      instance.setUrl(links.asJava)
+    result
+  }
+
+
+  def generateAuhtor(given: String, family: String, orcid: String): Author = {
+    val a = new Author
+    a.setName(given)
+    a.setSurname(family)
+    a.setFullname(s"$given $family")
+    if (StringUtils.isNotBlank(orcid))
+      a.setPid(List(createSP(orcid, ORCID, PID_TYPES)).asJava)
+
+    a
+  }
+
+  def convert(input: String): List[Oaf] = {
+    implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
+    lazy val json: json4s.JValue = parse(input)
+
+    var resultList: List[Oaf] = List()
+
+
+    val objectType = (json \ "type").extractOrElse[String](null)
+    val objectSubType = (json \ "subtype").extractOrElse[String](null)
+    if (objectType == null)
+      return resultList
+
+
+    val result = generateItemFromType(objectType, objectSubType)
+    if (result == null)
+      return List()
+    val cOBJCategory = mappingCrossrefSubType.getOrElse(objectType, mappingCrossrefSubType.getOrElse(objectSubType, "0038 Other literature type"));
+    mappingResult(result, json, cOBJCategory)
+
+
+    val funderList: List[mappingFunder] = (json \ "funder").extractOrElse[List[mappingFunder]](List())
+
+    if (funderList.nonEmpty) {
+      resultList = resultList ::: mappingFunderToRelations(funderList, result.getId, createCrossrefCollectedFrom(), result.getDataInfo, result.getLastupdatetimestamp)
+    }
+
+
+    result match {
+      case publication: Publication => convertPublication(publication, json, cOBJCategory)
+      case dataset: Dataset => convertDataset(dataset)
+    }
+
+    resultList = resultList ::: List(result)
+    resultList
+  }
+
+
+  def mappingFunderToRelations(funders: List[mappingFunder], sourceId: String, cf: KeyValue, di: DataInfo, ts: Long): List[Relation] = {
+
+    val queue = new mutable.Queue[Relation]
+
+
+    def snfRule(award:String): String = {
+      var tmp1 = StringUtils.substringAfter(award,"_")
+      val tmp2 = StringUtils.substringBefore(tmp1,"/")
+      logger.debug(s"From $award to $tmp2")
+      tmp2
+
+
+    }
+
+
+    def extractECAward(award: String): String = {
+      val awardECRegex: Regex = "[0-9]{4,9}".r
+      if (awardECRegex.findAllIn(award).hasNext)
+        return awardECRegex.findAllIn(award).max
+      null
+    }
+
+
+    def generateRelation(sourceId:String, targetId:String, nsPrefix:String) :Relation = {
+
+      val r = new Relation
+      r.setSource(sourceId)
+      r.setTarget(s"$nsPrefix::$targetId")
+      r.setRelType("resultProject")
+      r.setRelClass("isProducedBy")
+      r.setSubRelType("outcome")
+      r.setCollectedfrom(List(cf).asJava)
+      r.setDataInfo(di)
+      r.setLastupdatetimestamp(ts)
+      r
+    }
+
+
+    def generateSimpleRelationFromAward(funder: mappingFunder, nsPrefix: String, extractField: String => String): Unit = {
+      if (funder.award.isDefined && funder.award.get.nonEmpty)
+        funder.award.get.map(extractField).filter(a => a!= null &&  a.nonEmpty).foreach(
+          award => {
+            val targetId = DHPUtils.md5(award)
+            queue += generateRelation(sourceId, targetId, nsPrefix)
+          }
+        )
+    }
+
+    if (funders != null)
+    funders.foreach(funder => {
+      if (funder.DOI.isDefined && funder.DOI.get.nonEmpty) {
+        funder.DOI.get match {
+          case "10.13039/100010663" |
+               "10.13039/100010661" |
+               "10.13039/501100007601" |
+               "10.13039/501100000780" |
+               "10.13039/100010665" =>      generateSimpleRelationFromAward(funder, "corda__h2020", extractECAward)
+          case "10.13039/100011199" |
+               "10.13039/100004431" |
+               "10.13039/501100004963" |
+               "10.13039/501100000780" =>   generateSimpleRelationFromAward(funder, "corda_______", extractECAward)
+          case "10.13039/501100000781" =>   generateSimpleRelationFromAward(funder, "corda_______", extractECAward)
+                                            generateSimpleRelationFromAward(funder, "corda__h2020", extractECAward)
+          case "10.13039/100000001" =>      generateSimpleRelationFromAward(funder, "nsf_________", a => a)
+          case "10.13039/501100001665" =>   generateSimpleRelationFromAward(funder, "anr_________", a => a)
+          case "10.13039/501100002341" =>   generateSimpleRelationFromAward(funder, "aka_________", a => a)
+          case "10.13039/501100001602" =>   generateSimpleRelationFromAward(funder, "aka_________", a => a.replace("SFI", ""))
+          case "10.13039/501100000923" =>   generateSimpleRelationFromAward(funder, "arc_________", a => a)
+          case "10.13039/501100000038"=>    queue += generateRelation(sourceId,"1e5e62235d094afd01cd56e65112fc63", "nserc_______" )
+          case "10.13039/501100000155"=>    queue += generateRelation(sourceId,"1e5e62235d094afd01cd56e65112fc63", "sshrc_______" )
+          case "10.13039/501100000024"=>    queue += generateRelation(sourceId,"1e5e62235d094afd01cd56e65112fc63", "cihr________" )
+          case "10.13039/501100002848" =>   generateSimpleRelationFromAward(funder, "conicytf____", a => a)
+          case "10.13039/501100003448" =>   generateSimpleRelationFromAward(funder, "gsrt________", extractECAward)
+          case "10.13039/501100010198" =>   generateSimpleRelationFromAward(funder, "sgov________", a=>a)
+          case "10.13039/501100004564" =>   generateSimpleRelationFromAward(funder, "mestd_______", extractECAward)
+          case "10.13039/501100003407" =>   generateSimpleRelationFromAward(funder, "miur________", a=>a)
+                                            queue += generateRelation(sourceId,"1e5e62235d094afd01cd56e65112fc63", "miur________" )
+          case "10.13039/501100006588" |
+                "10.13039/501100004488" =>  generateSimpleRelationFromAward(funder, "irb_hr______", a=>a.replaceAll("Project No.", "").replaceAll("HRZZ-","") )
+          case "10.13039/501100006769"=>    generateSimpleRelationFromAward(funder, "rsf_________", a=>a)
+          case "10.13039/501100001711"=>    generateSimpleRelationFromAward(funder, "snsf________", snfRule)
+          case "10.13039/501100004410"=>    generateSimpleRelationFromAward(funder, "tubitakf____", a =>a)
+          case "10.10.13039/100004440"=>    generateSimpleRelationFromAward(funder, "wt__________", a =>a)
+          case "10.13039/100004440"=>       queue += generateRelation(sourceId,"1e5e62235d094afd01cd56e65112fc63", "wt__________" )
+          case _ =>                         logger.debug("no match for "+funder.DOI.get )
+
+
+        }
+
+
+      } else {
+        funder.name match {
+          case   "European Union’s Horizon 2020 research and innovation program" => generateSimpleRelationFromAward(funder, "corda__h2020", extractECAward)
+          case "European Union's" =>
+            generateSimpleRelationFromAward(funder, "corda__h2020", extractECAward)
+            generateSimpleRelationFromAward(funder, "corda_______", extractECAward)
+          case "The French National Research Agency (ANR)" |
+               "The French National Research Agency" => generateSimpleRelationFromAward(funder, "anr_________", a => a)
+          case "CONICYT, Programa de Formación de Capital Humano Avanzado" => generateSimpleRelationFromAward(funder, "conicytf____", extractECAward)
+          case "Wellcome Trust Masters Fellowship" => queue += generateRelation(sourceId,"1e5e62235d094afd01cd56e65112fc63", "wt__________" )
+          case _ =>                         logger.debug("no match for "+funder.name )
+
+        }
+      }
+
+    }
+    )
+    queue.toList
+  }
+
+  def convertDataset(dataset: Dataset): Unit = {
+    // TODO check if there are other info to map into the Dataset
+  }
+
+
+  def convertPublication(publication: Publication, json: JValue, cobjCategory: String): Unit = {
+    implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
+    val containerTitles = for {JString(ct) <- json \ "container-title"} yield ct
+
+
+    //Mapping book
+    if (cobjCategory.toLowerCase.contains("book")) {
+      val ISBN = for {JString(isbn) <- json \ "ISBN"} yield isbn
+      if (ISBN.nonEmpty && containerTitles.nonEmpty) {
+        val source = s"${containerTitles.head} ISBN: ${ISBN.head}"
+        if (publication.getSource != null) {
+          val l: List[Field[String]] = publication.getSource.asScala.toList
+          val ll: List[Field[String]] = l ::: List(asField(source))
+          publication.setSource(ll.asJava)
+        }
+        else
+          publication.setSource(List(asField(source)).asJava)
+      }
+    } else {
+      // Mapping Journal
+
+      val issnInfos = for {JArray(issn_types) <- json \ "issn-type"
+                           JObject(issn_type) <- issn_types
+                           JField("type", JString(tp)) <- issn_type
+                           JField("value", JString(vl)) <- issn_type
+                           } yield Tuple2(tp, vl)
+
+      val volume = (json \ "volume").extractOrElse[String](null)
+      if (containerTitles.nonEmpty) {
+        val journal = new Journal
+        journal.setName(containerTitles.head)
+        if (issnInfos.nonEmpty) {
+
+          issnInfos.foreach(tp => {
+            tp._1 match {
+              case "electronic" => journal.setIssnOnline(tp._2)
+              case "print" => journal.setIssnPrinted(tp._2)
+            }
+          })
+        }
+        journal.setVol(volume)
+        val page = (json \ "page").extractOrElse[String](null)
+        if (page != null) {
+          val pp = page.split("-")
+          if (pp.nonEmpty)
+            journal.setSp(pp.head)
+          if (pp.size > 1)
+            journal.setEp(pp(1))
+        }
+        publication.setJournal(journal)
+      }
+    }
+  }
+
+  def extractDate(dt: String, datePart: List[List[Int]]): String = {
+    if (StringUtils.isNotBlank(dt))
+      return dt
+    if (datePart != null && datePart.size == 1) {
+      val res = datePart.head
+      if (res.size == 3) {
+        val dp = f"${res.head}-${res(1)}%02d-${res(2)}%02d"
+        if (dp.length == 10) {
+          return dp
+        }
+      }
+    }
+    null
+
+  }
+
+  def generateDate(dt: String, datePart: List[List[Int]], classId: String, schemeId: String): StructuredProperty = {
+    val dp = extractDate(dt, datePart)
+    if (StringUtils.isNotBlank(dp))
+      return createSP(dp, classId, schemeId)
+    null
+  }
+
+  def generateItemFromType(objectType: String, objectSubType: String): Result = {
+    if (mappingCrossrefType.contains(objectType)) {
+      if (mappingCrossrefType(objectType).equalsIgnoreCase("publication"))
+        return new Publication()
+      if (mappingCrossrefType(objectType).equalsIgnoreCase("dataset"))
+        return new Dataset()
+    }
+    null
+  }
+
+}

dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/CrossrefImporter.java

@@ -0,0 +1,103 @@
+
+package eu.dnetlib.doiboost.crossref;
+
+import java.io.ByteArrayOutputStream;
+import java.util.zip.Inflater;
+
+import org.apache.commons.codec.binary.Base64;
+import org.apache.commons.io.IOUtils;
+import org.apache.commons.lang3.StringUtils;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.fs.Path;
+import org.apache.hadoop.io.IntWritable;
+import org.apache.hadoop.io.SequenceFile;
+import org.apache.hadoop.io.Text;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import eu.dnetlib.dhp.application.ArgumentApplicationParser;
+
+public class CrossrefImporter {
+
+	public static void main(String[] args) throws Exception {
+
+		final ArgumentApplicationParser parser = new ArgumentApplicationParser(
+			IOUtils
+				.toString(
+					CrossrefImporter.class
+						.getResourceAsStream(
+							"/eu/dnetlib/dhp/doiboost/import_from_es.json")));
+
+		parser.parseArgument(args);
+
+		final String hdfsuri = parser.get("namenode");
+		System.out.println("HDFS URI" + hdfsuri);
+		Path hdfswritepath = new Path(parser.get("targetPath"));
+		System.out.println("TargetPath: " + hdfsuri);
+
+		final Long timestamp = StringUtils.isNotBlank(parser.get("timestamp"))
+			? Long.parseLong(parser.get("timestamp"))
+			: -1;
+
+		if (timestamp > 0)
+			System.out.println("Timestamp added " + timestamp);
+
+		// ====== Init HDFS File System Object
+		Configuration conf = new Configuration();
+		// Set FileSystem URI
+		conf.set("fs.defaultFS", hdfsuri);
+		// Because of Maven
+		conf.set("fs.hdfs.impl", org.apache.hadoop.hdfs.DistributedFileSystem.class.getName());
+		conf.set("fs.file.impl", org.apache.hadoop.fs.LocalFileSystem.class.getName());
+
+		ESClient client = timestamp > 0
+			? new ESClient("ip-90-147-167-25.ct1.garrservices.it", "crossref", timestamp)
+			: new ESClient("ip-90-147-167-25.ct1.garrservices.it", "crossref");
+
+		try (SequenceFile.Writer writer = SequenceFile
+			.createWriter(
+				conf,
+				SequenceFile.Writer.file(hdfswritepath),
+				SequenceFile.Writer.keyClass(IntWritable.class),
+				SequenceFile.Writer.valueClass(Text.class))) {
+
+			int i = 0;
+			long start = System.currentTimeMillis();
+			long end = 0;
+			final IntWritable key = new IntWritable(i);
+			final Text value = new Text();
+			while (client.hasNext()) {
+				key.set(i++);
+				value.set(client.next());
+				writer.append(key, value);
+				if (i % 100000 == 0) {
+					end = System.currentTimeMillis();
+					final float time = (end - start) / 1000.0F;
+					System.out
+						.println(
+							String.format("Imported %d records last 100000 imported in %f seconds", i, time));
+					start = System.currentTimeMillis();
+				}
+			}
+		}
+	}
+
+	public static String decompressBlob(final String blob) {
+		try {
+			byte[] byteArray = Base64.decodeBase64(blob.getBytes());
+			final Inflater decompresser = new Inflater();
+			decompresser.setInput(byteArray);
+			final ByteArrayOutputStream bos = new ByteArrayOutputStream(byteArray.length);
+			byte[] buffer = new byte[8192];
+			while (!decompresser.finished()) {
+				int size = decompresser.inflate(buffer);
+				bos.write(buffer, 0, size);
+			}
+			byte[] unzippeddata = bos.toByteArray();
+			decompresser.end();
+			return new String(unzippeddata);
+		} catch (Throwable e) {
+			throw new RuntimeException("Wrong record:" + blob, e);
+		}
+	}
+}

dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/ESClient.java

@@ -0,0 +1,114 @@
+
+package eu.dnetlib.doiboost.crossref;
+
+import java.io.IOException;
+import java.util.Iterator;
+import java.util.List;
+
+import org.apache.commons.io.IOUtils;
+import org.apache.http.client.methods.CloseableHttpResponse;
+import org.apache.http.client.methods.HttpPost;
+import org.apache.http.entity.StringEntity;
+import org.apache.http.impl.client.CloseableHttpClient;
+import org.apache.http.impl.client.HttpClients;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import com.jayway.jsonpath.JsonPath;
+
+public class ESClient implements Iterator<String> {
+	private static final Logger logger = LoggerFactory.getLogger(ESClient.class);
+
+	static final String blobPath = "$.hits[*].hits[*]._source.blob";
+	static final String scrollIdPath = "$._scroll_id";
+	static final String JSON_NO_TS = "{\"size\":1000}";
+	static final String JSON_WITH_TS = "{\"size\":1000, \"query\":{\"range\":{\"timestamp\":{\"gte\":%d}}}}";
+	static final String JSON_SCROLL = "{\"scroll_id\":\"%s\",\"scroll\" : \"1m\"}";
+
+	private final String scrollId;
+
+	private List<String> buffer;
+
+	private final String esHost;
+
+	public ESClient(final String esHost, final String esIndex) throws IOException {
+
+		this.esHost = esHost;
+		final String body = getResponse(
+			String.format("http://%s:9200/%s/_search?scroll=1m", esHost, esIndex), JSON_NO_TS);
+		scrollId = getJPathString(scrollIdPath, body);
+		buffer = getBlobs(body);
+	}
+
+	public ESClient(final String esHost, final String esIndex, final long timestamp)
+		throws IOException {
+		this.esHost = esHost;
+		final String body = getResponse(
+			String.format("http://%s:9200/%s/_search?scroll=1m", esHost, esIndex),
+			String.format(JSON_WITH_TS, timestamp));
+		scrollId = getJPathString(scrollIdPath, body);
+		buffer = getBlobs(body);
+	}
+
+	private String getResponse(final String url, final String json) {
+		CloseableHttpClient client = HttpClients.createDefault();
+		try {
+
+			HttpPost httpPost = new HttpPost(url);
+			if (json != null) {
+				StringEntity entity = new StringEntity(json);
+				httpPost.setEntity(entity);
+				httpPost.setHeader("Accept", "application/json");
+				httpPost.setHeader("Content-type", "application/json");
+			}
+			CloseableHttpResponse response = client.execute(httpPost);
+
+			return IOUtils.toString(response.getEntity().getContent());
+		} catch (Throwable e) {
+			throw new RuntimeException("Error on executing request ", e);
+		} finally {
+			try {
+				client.close();
+			} catch (IOException e) {
+				throw new RuntimeException("Unable to close client ", e);
+			}
+		}
+	}
+
+	private String getJPathString(final String jsonPath, final String json) {
+		try {
+			Object o = JsonPath.read(json, jsonPath);
+			if (o instanceof String)
+				return (String) o;
+			return null;
+		} catch (Exception e) {
+			return "";
+		}
+	}
+
+	private List<String> getBlobs(final String body) {
+		final List<String> res = JsonPath.read(body, "$.hits.hits[*]._source.blob");
+		return res;
+	}
+
+	@Override
+	public boolean hasNext() {
+		return (buffer != null && !buffer.isEmpty());
+	}
+
+	@Override
+	public String next() {
+		final String nextItem = buffer.remove(0);
+		if (buffer.isEmpty()) {
+
+			final String json_param = String.format(JSON_SCROLL, scrollId);
+			final String body = getResponse(String.format("http://%s:9200/_search/scroll", esHost), json_param);
+			try {
+				buffer = getBlobs(body);
+			} catch (Throwable e) {
+				logger.error("Error on  get next page: body:" + body);
+			}
+		}
+		return nextItem;
+	}
+}

dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/SparkMapDumpIntoOAF.scala

@@ -0,0 +1,98 @@
+package eu.dnetlib.doiboost.crossref
+
+import eu.dnetlib.dhp.application.ArgumentApplicationParser
+import eu.dnetlib.dhp.schema.oaf
+import eu.dnetlib.dhp.schema.oaf.{Oaf, Publication, Relation, Dataset => OafDataset}
+import org.apache.commons.io.IOUtils
+import org.apache.hadoop.io.{IntWritable, Text}
+import org.apache.spark.SparkConf
+import org.apache.spark.rdd.RDD
+import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
+import org.slf4j.{Logger, LoggerFactory}
+
+
+case class Reference(author: String, firstPage: String) {}
+
+object SparkMapDumpIntoOAF {
+
+  def main(args: Array[String]): Unit = {
+
+
+    val logger: Logger = LoggerFactory.getLogger(SparkMapDumpIntoOAF.getClass)
+    val conf: SparkConf = new SparkConf()
+    val parser = new ArgumentApplicationParser(IOUtils.toString(SparkMapDumpIntoOAF.getClass.getResourceAsStream("/eu/dnetlib/dhp/doiboost/convert_map_to_oaf_params.json")))
+    parser.parseArgument(args)
+    val spark: SparkSession =
+      SparkSession
+        .builder()
+        .config(conf)
+        .appName(SparkMapDumpIntoOAF.getClass.getSimpleName)
+        .master(parser.get("master")).getOrCreate()
+
+    implicit val mapEncoderPubs: Encoder[Publication] = Encoders.kryo[Publication]
+    implicit val mapEncoderRelatons: Encoder[Relation] = Encoders.kryo[Relation]
+    implicit val mapEncoderDatasets: Encoder[oaf.Dataset] = Encoders.kryo[OafDataset]
+
+    val sc = spark.sparkContext
+    val targetPath = parser.get("targetPath")
+
+
+    sc.sequenceFile(parser.get("sourcePath"), classOf[IntWritable], classOf[Text])
+      .map(k => k._2.toString).map(CrossrefImporter.decompressBlob)
+      .flatMap(k => Crossref2Oaf.convert(k)).saveAsObjectFile(s"${targetPath}/mixObject")
+
+    val inputRDD = sc.objectFile[Oaf](s"${targetPath}/mixObject").filter(p=> p!= null)
+
+    val distinctPubs:RDD[Publication] = inputRDD.filter(k => k != null && k.isInstanceOf[Publication])
+      .map(k => k.asInstanceOf[Publication]).map { p: Publication => Tuple2(p.getId, p) }.reduceByKey { case (p1: Publication, p2: Publication) =>
+      var r = if (p1 == null) p2 else p1
+      if (p1 != null && p2 != null) {
+        if (p1.getLastupdatetimestamp != null && p2.getLastupdatetimestamp != null) {
+          if (p1.getLastupdatetimestamp < p2.getLastupdatetimestamp)
+            r = p2
+          else
+            r = p1
+        } else {
+          r = if (p1.getLastupdatetimestamp == null) p2 else p1
+        }
+      }
+      r
+    }.map(_._2)
+
+    val pubs:Dataset[Publication] = spark.createDataset(distinctPubs)
+    pubs.write.mode(SaveMode.Overwrite).save(s"${targetPath}/publication")
+
+
+    val distincDatasets:RDD[OafDataset] = inputRDD.filter(k => k != null && k.isInstanceOf[OafDataset])
+      .map(k => k.asInstanceOf[OafDataset]).map(p => Tuple2(p.getId, p)).reduceByKey { case (p1: OafDataset, p2: OafDataset) =>
+      var r = if (p1 == null) p2 else p1
+      if (p1 != null && p2 != null) {
+        if (p1.getLastupdatetimestamp != null && p2.getLastupdatetimestamp != null) {
+          if (p1.getLastupdatetimestamp < p2.getLastupdatetimestamp)
+            r = p2
+          else
+            r = p1
+        } else {
+          r = if (p1.getLastupdatetimestamp == null) p2 else p1
+        }
+      }
+      r
+    }.map(_._2)
+
+    spark.createDataset(distincDatasets).write.mode(SaveMode.Overwrite).save(s"${targetPath}/dataset")
+
+
+
+    val distinctRels =inputRDD.filter(k => k != null && k.isInstanceOf[Relation])
+      .map(k => k.asInstanceOf[Relation]).map(r=> (s"${r.getSource}::${r.getTarget}",r))
+      .reduceByKey { case (p1: Relation, p2: Relation) =>
+        if (p1 == null) p2 else p1
+      }.map(_._2)
+
+    val rels: Dataset[Relation] = spark.createDataset(distinctRels)
+
+    rels.write.mode(SaveMode.Overwrite).save(s"${targetPath}/relations")
+  }
+
+
+}

dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/mag/MagDataModel.scala

@@ -0,0 +1,314 @@
+package eu.dnetlib.doiboost.mag
+
+
+import eu.dnetlib.dhp.schema.oaf.{Instance, Journal, Publication, StructuredProperty}
+import eu.dnetlib.doiboost.DoiBoostMappingUtil
+import org.json4s
+import org.json4s.DefaultFormats
+import org.json4s.jackson.JsonMethods.parse
+import eu.dnetlib.doiboost.DoiBoostMappingUtil._
+
+import scala.collection.JavaConverters._
+import scala.collection.mutable
+import scala.util.matching.Regex
+
+
+case class MagPapers(PaperId: Long, Rank: Integer, Doi: String,
+                     DocType: String, PaperTitle: String, OriginalTitle: String,
+                     BookTitle: String, Year: Option[Integer], Date: Option[java.sql.Timestamp], Publisher: String,
+                     JournalId: Option[Long], ConferenceSeriesId: Option[Long], ConferenceInstanceId: Option[Long],
+                     Volume: String, Issue: String, FirstPage: String, LastPage: String,
+                     ReferenceCount: Option[Long], CitationCount: Option[Long], EstimatedCitation: Option[Long],
+                     OriginalVenue: String, FamilyId: Option[Long], CreatedDate: java.sql.Timestamp) {}
+
+
+case class MagPaperAbstract(PaperId: Long, IndexedAbstract: String) {}
+
+case class MagAuthor(AuthorId: Long, Rank: Option[Int], NormalizedName: Option[String], DisplayName: Option[String], LastKnownAffiliationId: Option[Long], PaperCount: Option[Long], CitationCount: Option[Long], CreatedDate: Option[java.sql.Timestamp]) {}
+
+case class MagAffiliation(AffiliationId: Long, Rank: Int, NormalizedName: String, DisplayName: String, GridId: String, OfficialPage: String, WikiPage: String, PaperCount: Long, CitationCount: Long, Latitude: Option[Float], Longitude: Option[Float], CreatedDate: java.sql.Timestamp) {}
+
+case class MagPaperAuthorAffiliation(PaperId: Long, AuthorId: Long, AffiliationId: Option[Long], AuthorSequenceNumber: Int, OriginalAuthor: String, OriginalAffiliation: String) {}
+
+
+case class MagAuthorAffiliation(author: MagAuthor, affiliation:String)
+
+case class MagPaperWithAuthorList(PaperId: Long, authors: List[MagAuthorAffiliation]) {}
+
+case class MagPaperAuthorDenormalized(PaperId: Long, author: MagAuthor, affiliation:String) {}
+
+case class MagPaperUrl(PaperId: Long, SourceType: Option[Int], SourceUrl: Option[String], LanguageCode: Option[String]) {}
+
+case class MagUrlInstance(SourceUrl:String){}
+
+case class MagUrl(PaperId: Long, instances: List[MagUrlInstance])
+
+case class MagSubject(FieldOfStudyId:Long, DisplayName:String, MainType:Option[String], Score:Float){}
+
+case class MagFieldOfStudy(PaperId:Long, subjects:List[MagSubject]) {}
+
+case class MagJournal(JournalId: Long, Rank: Option[Int], NormalizedName: Option[String], DisplayName: Option[String], Issn: Option[String], Publisher: Option[String], Webpage: Option[String], PaperCount: Option[Long], CitationCount: Option[Long], CreatedDate: Option[java.sql.Timestamp]) {}
+
+
+case class MagConferenceInstance(ci:Long, DisplayName:Option[String], Location:Option[String], StartDate:Option[java.sql.Timestamp],   EndDate:Option[java.sql.Timestamp],  PaperId:Long){}
+
+case object ConversionUtil {
+
+  def extractMagIdentifier(pids:mutable.Buffer[String]) :String ={
+    val magIDRegex: Regex = "^[0-9]+$".r
+    val s =pids.filter(p=> magIDRegex.findAllIn(p).hasNext)
+
+    if (s.nonEmpty)
+      return s.head
+    null
+  }
+
+
+  def mergePublication(a: Publication, b:Publication) : Publication = {
+    if ((a != null) && (b != null)) {
+      a.mergeFrom(b)
+      a
+    } else {
+      if (a == null) b else a
+    }
+
+
+  }
+
+  def choiceLatestMagArtitcle(p1: MagPapers, p2:MagPapers) :MagPapers = {
+    var r = if (p1 == null) p2 else p1
+    if (p1 != null && p2 != null) {
+      if (p1.CreatedDate != null && p2.CreatedDate != null) {
+        if (p1.CreatedDate.before(p2.CreatedDate))
+          r = p2
+        else
+          r = p1
+      } else {
+        r = if (p1.CreatedDate == null) p2 else p1
+      }
+    }
+    r
+
+  }
+
+
+  def updatePubsWithDescription(inputItem:((String, Publication), MagPaperAbstract)) : Publication = {
+    val pub = inputItem._1._2
+    val abst = inputItem._2
+    if (abst != null) {
+      pub.setDescription(List(asField(abst.IndexedAbstract)).asJava)
+    }
+    pub
+
+  }
+
+
+  def updatePubsWithConferenceInfo(inputItem:((String, Publication), MagConferenceInstance)) : Publication = {
+    val publication:Publication= inputItem._1._2
+    val ci:MagConferenceInstance = inputItem._2
+
+    if (ci!= null){
+
+      val j:Journal = new Journal
+      if (ci.Location.isDefined)
+        j.setConferenceplace(ci.Location.get)
+      j.setName(ci.DisplayName.get)
+      if (ci.StartDate.isDefined && ci.EndDate.isDefined)
+      {
+        j.setConferencedate(s"${ci.StartDate.get.toString.substring(0,10)} - ${ci.EndDate.get.toString.substring(0,10)}")
+      }
+
+      publication.setJournal(j)
+    }
+    publication
+  }
+
+  def updatePubsWithSubject(item:((String, Publication), MagFieldOfStudy)) : Publication = {
+
+    val publication = item._1._2
+    val fieldOfStudy = item._2
+    if (fieldOfStudy != null && fieldOfStudy.subjects != null && fieldOfStudy.subjects.nonEmpty) {
+      val p: List[StructuredProperty] = fieldOfStudy.subjects.flatMap(s => {
+        val s1 = createSP(s.DisplayName, "keywords", "dnet:subject_classification_typologies")
+        val di = DoiBoostMappingUtil.generateDataInfo(s.Score.toString)
+        var resList: List[StructuredProperty] = List(s1)
+        if (s.MainType.isDefined) {
+          val maintp = s.MainType.get
+          val s2 = createSP(s.MainType.get, "keywords", "dnet:subject_classification_typologies")
+          s2.setDataInfo(di)
+          resList = resList ::: List(s2)
+          if (maintp.contains(".")) {
+            val s3 = createSP(maintp.split("\\.").head, "keywords", "dnet:subject_classification_typologies")
+            s3.setDataInfo(di)
+            resList = resList ::: List(s3)
+          }
+        }
+        resList
+      })
+      publication.setSubject(p.asJava)
+    }
+    publication
+  }
+
+
+
+  def addInstances(a: (Publication, MagUrl)): Publication = {
+    val pub = a._1
+    val urls = a._2
+
+
+
+    val i = new Instance
+
+
+    if (urls!= null) {
+
+      val l:List[String] = urls.instances.filter(k=>k.SourceUrl.nonEmpty).map(k=>k.SourceUrl):::List(s"https://academic.microsoft.com/#/detail/${extractMagIdentifier(pub.getOriginalId.asScala)}")
+
+      i.setUrl(l.asJava)
+    }
+    else
+      i.setUrl(List(s"https://academic.microsoft.com/#/detail/${extractMagIdentifier(pub.getOriginalId.asScala)}").asJava)
+
+    i.setCollectedfrom(createMAGCollectedFrom())
+    pub.setInstance(List(i).asJava)
+    pub
+  }
+
+
+  def transformPaperAbstract(input: MagPaperAbstract): MagPaperAbstract = {
+    MagPaperAbstract(input.PaperId, convertInvertedIndexString(input.IndexedAbstract))
+  }
+
+
+  def createOAFFromJournalAuthorPaper(inputParams: ((MagPapers, MagJournal), MagPaperWithAuthorList)): Publication = {
+    val paper = inputParams._1._1
+    val journal = inputParams._1._2
+    val authors = inputParams._2
+
+    val pub = new Publication
+    pub.setPid(List(createSP(paper.Doi.toLowerCase, "doi", PID_TYPES)).asJava)
+    pub.setOriginalId(List(paper.PaperId.toString, paper.Doi.toLowerCase).asJava)
+
+    //Set identifier as {50|60} | doiboost____::md5(DOI)
+    pub.setId(generateIdentifier(pub, paper.Doi.toLowerCase))
+
+    val mainTitles = createSP(paper.PaperTitle, "main title", "dnet:dataCite_title")
+    val originalTitles = createSP(paper.OriginalTitle, "alternative title", "dnet:dataCite_title")
+    pub.setTitle(List(mainTitles, originalTitles).asJava)
+
+    pub.setSource(List(asField(paper.BookTitle)).asJava)
+
+    val authorsOAF = authors.authors.map { f: MagAuthorAffiliation =>
+
+      val a: eu.dnetlib.dhp.schema.oaf.Author = new eu.dnetlib.dhp.schema.oaf.Author
+
+      a.setFullname(f.author.DisplayName.get)
+
+      if(f.affiliation!= null)
+        a.setAffiliation(List(asField(f.affiliation)).asJava)
+      a.setPid(List(createSP(s"https://academic.microsoft.com/#/detail/${f.author.AuthorId}", "URL", PID_TYPES)).asJava)
+      a
+    }
+    pub.setAuthor(authorsOAF.asJava)
+
+
+    if (paper.Date != null && paper.Date.isDefined) {
+      pub.setDateofacceptance(asField(paper.Date.get.toString.substring(0,10)))
+    }
+    pub.setPublisher(asField(paper.Publisher))
+
+
+    if (journal != null && journal.DisplayName.isDefined) {
+      val j = new Journal
+
+      j.setName(journal.DisplayName.get)
+      j.setSp(paper.FirstPage)
+      j.setEp(paper.LastPage)
+      if (journal.Publisher.isDefined)
+        pub.setPublisher(asField(journal.Publisher.get))
+      if (journal.Issn.isDefined)
+        j.setIssnPrinted(journal.Issn.get)
+      pub.setJournal(j)
+    }
+    pub.setCollectedfrom(List(createMAGCollectedFrom()).asJava)
+    pub.setDataInfo(generateDataInfo())
+    pub
+  }
+
+
+  def createOAF(inputParams: ((MagPapers, MagPaperWithAuthorList), MagPaperAbstract)): Publication = {
+
+    val paper = inputParams._1._1
+    val authors = inputParams._1._2
+    val description = inputParams._2
+
+    val pub = new Publication
+    pub.setPid(List(createSP(paper.Doi.toLowerCase, "doi", PID_TYPES)).asJava)
+    pub.setOriginalId(List(paper.PaperId.toString, paper.Doi.toLowerCase).asJava)
+
+    //Set identifier as {50|60} | doiboost____::md5(DOI)
+    pub.setId(generateIdentifier(pub, paper.Doi.toLowerCase))
+
+    val mainTitles = createSP(paper.PaperTitle, "main title", "dnet:dataCite_title")
+    val originalTitles = createSP(paper.OriginalTitle, "alternative title", "dnet:dataCite_title")
+    pub.setTitle(List(mainTitles, originalTitles).asJava)
+
+    pub.setSource(List(asField(paper.BookTitle)).asJava)
+
+
+    if (description != null) {
+      pub.setDescription(List(asField(description.IndexedAbstract)).asJava)
+    }
+
+
+    val authorsOAF = authors.authors.map { f: MagAuthorAffiliation =>
+
+      val a: eu.dnetlib.dhp.schema.oaf.Author = new eu.dnetlib.dhp.schema.oaf.Author
+
+      a.setFullname(f.author.DisplayName.get)
+
+      if(f.affiliation!= null)
+        a.setAffiliation(List(asField(f.affiliation)).asJava)
+
+
+      a.setPid(List(createSP(s"https://academic.microsoft.com/#/detail/${f.author.AuthorId}", "URL", PID_TYPES)).asJava)
+
+      a
+
+    }
+
+
+    if (paper.Date != null) {
+      pub.setDateofacceptance(asField(paper.Date.toString.substring(0,10)))
+    }
+
+    pub.setAuthor(authorsOAF.asJava)
+
+
+    pub
+
+  }
+
+
+  def convertInvertedIndexString(json_input: String): String = {
+    implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
+    lazy val json: json4s.JValue = parse(json_input)
+    val idl = (json \ "IndexLength").extract[Int]
+    if (idl > 0) {
+      val res = Array.ofDim[String](idl)
+
+      val iid = (json \ "InvertedIndex").extract[Map[String, List[Int]]]
+
+      for {(k: String, v: List[Int]) <- iid} {
+        v.foreach(item => res(item) = k)
+      }
+     (0 until idl).foreach(i => {
+       if (res(i) == null)
+         res(i) = ""
+     })
+      return res.mkString(" ")
+    }
+    ""
+  }
+}

dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/mag/SparkImportMagIntoDataset.scala

@@ -0,0 +1,92 @@
+package eu.dnetlib.doiboost.mag
+
+import eu.dnetlib.dhp.application.ArgumentApplicationParser
+import org.apache.commons.io.IOUtils
+import org.apache.spark.SparkConf
+import org.apache.spark.sql.{SaveMode, SparkSession}
+import org.apache.spark.sql.types._
+import org.slf4j.{Logger, LoggerFactory}
+import org.apache.spark.sql.functions._
+
+object SparkImportMagIntoDataset {
+  val datatypedict = Map(
+    "int" -> IntegerType,
+    "uint" -> IntegerType,
+    "long" -> LongType,
+    "ulong" -> LongType,
+    "float" -> FloatType,
+    "string" -> StringType,
+    "DateTime" -> DateType
+  )
+
+
+  val stream = Map(
+    "Affiliations" -> Tuple2("mag/Affiliations.txt", Seq("AffiliationId:long", "Rank:uint", "NormalizedName:string", "DisplayName:string", "GridId:string", "OfficialPage:string", "WikiPage:string", "PaperCount:long", "CitationCount:long", "Latitude:float?", "Longitude:float?", "CreatedDate:DateTime")),
+    "Authors" -> Tuple2("mag/Authors.txt", Seq("AuthorId:long", "Rank:uint", "NormalizedName:string", "DisplayName:string", "LastKnownAffiliationId:long?", "PaperCount:long", "CitationCount:long", "CreatedDate:DateTime")),
+    "ConferenceInstances" -> Tuple2("mag/ConferenceInstances.txt", Seq("ConferenceInstanceId:long", "NormalizedName:string", "DisplayName:string", "ConferenceSeriesId:long", "Location:string", "OfficialUrl:string", "StartDate:DateTime?", "EndDate:DateTime?", "AbstractRegistrationDate:DateTime?", "SubmissionDeadlineDate:DateTime?", "NotificationDueDate:DateTime?", "FinalVersionDueDate:DateTime?", "PaperCount:long", "CitationCount:long", "Latitude:float?", "Longitude:float?", "CreatedDate:DateTime")),
+    "ConferenceSeries" -> Tuple2("mag/ConferenceSeries.txt", Seq("ConferenceSeriesId:long", "Rank:uint", "NormalizedName:string", "DisplayName:string", "PaperCount:long", "CitationCount:long", "CreatedDate:DateTime")),
+    "EntityRelatedEntities" -> Tuple2("advanced/EntityRelatedEntities.txt", Seq("EntityId:long", "EntityType:string", "RelatedEntityId:long", "RelatedEntityType:string", "RelatedType:int", "Score:float")),
+    "FieldOfStudyChildren" -> Tuple2("advanced/FieldOfStudyChildren.txt", Seq("FieldOfStudyId:long", "ChildFieldOfStudyId:long")),
+    "FieldOfStudyExtendedAttributes" -> Tuple2("advanced/FieldOfStudyExtendedAttributes.txt", Seq("FieldOfStudyId:long", "AttributeType:int", "AttributeValue:string")),
+    "FieldsOfStudy" -> Tuple2("advanced/FieldsOfStudy.txt", Seq("FieldOfStudyId:long", "Rank:uint", "NormalizedName:string", "DisplayName:string", "MainType:string", "Level:int", "PaperCount:long", "CitationCount:long", "CreatedDate:DateTime")),
+    "Journals" -> Tuple2("mag/Journals.txt", Seq("JournalId:long", "Rank:uint", "NormalizedName:string", "DisplayName:string", "Issn:string", "Publisher:string", "Webpage:string", "PaperCount:long", "CitationCount:long", "CreatedDate:DateTime")),
+    "PaperAbstractsInvertedIndex" -> Tuple2("nlp/PaperAbstractsInvertedIndex.txt.*", Seq("PaperId:long", "IndexedAbstract:string")),
+    "PaperAuthorAffiliations" -> Tuple2("mag/PaperAuthorAffiliations.txt", Seq("PaperId:long", "AuthorId:long", "AffiliationId:long?", "AuthorSequenceNumber:uint", "OriginalAuthor:string", "OriginalAffiliation:string")),
+    "PaperCitationContexts" -> Tuple2("nlp/PaperCitationContexts.txt", Seq("PaperId:long", "PaperReferenceId:long", "CitationContext:string")),
+    "PaperExtendedAttributes" -> Tuple2("mag/PaperExtendedAttributes.txt", Seq("PaperId:long", "AttributeType:int", "AttributeValue:string")),
+    "PaperFieldsOfStudy" -> Tuple2("advanced/PaperFieldsOfStudy.txt", Seq("PaperId:long", "FieldOfStudyId:long", "Score:float")),
+    "PaperRecommendations" -> Tuple2("advanced/PaperRecommendations.txt", Seq("PaperId:long", "RecommendedPaperId:long", "Score:float")),
+    "PaperReferences" -> Tuple2("mag/PaperReferences.txt", Seq("PaperId:long", "PaperReferenceId:long")),
+    "PaperResources" -> Tuple2("mag/PaperResources.txt", Seq("PaperId:long", "ResourceType:int", "ResourceUrl:string", "SourceUrl:string", "RelationshipType:int")),
+    "PaperUrls" -> Tuple2("mag/PaperUrls.txt", Seq("PaperId:long", "SourceType:int?", "SourceUrl:string", "LanguageCode:string")),
+    "Papers" -> Tuple2("mag/Papers.txt", Seq("PaperId:long", "Rank:uint", "Doi:string", "DocType:string", "PaperTitle:string", "OriginalTitle:string", "BookTitle:string", "Year:int?", "Date:DateTime?", "Publisher:string", "JournalId:long?", "ConferenceSeriesId:long?", "ConferenceInstanceId:long?", "Volume:string", "Issue:string", "FirstPage:string", "LastPage:string", "ReferenceCount:long", "CitationCount:long", "EstimatedCitation:long", "OriginalVenue:string", "FamilyId:long?", "CreatedDate:DateTime")),
+    "RelatedFieldOfStudy" -> Tuple2("advanced/RelatedFieldOfStudy.txt", Seq("FieldOfStudyId1:long", "Type1:string", "FieldOfStudyId2:long", "Type2:string", "Rank:float"))
+  )
+
+
+  def getSchema(streamName: String): StructType = {
+    var schema = new StructType()
+    val d: Seq[String] = stream(streamName)._2
+    d.foreach { case t =>
+      val currentType = t.split(":")
+      val fieldName: String = currentType.head
+      var fieldType: String = currentType.last
+      val nullable: Boolean = fieldType.endsWith("?")
+      if (nullable)
+        fieldType = fieldType.replace("?", "")
+      schema = schema.add(StructField(fieldName, datatypedict(fieldType), nullable))
+    }
+    schema
+  }
+
+
+  def main(args: Array[String]): Unit = {
+    val logger: Logger = LoggerFactory.getLogger(getClass)
+    val conf: SparkConf = new SparkConf()
+    val parser = new ArgumentApplicationParser(IOUtils.toString(getClass.getResourceAsStream("/eu/dnetlib/dhp/doiboost/mag/convert_mag_to_oaf_params.json")))
+    parser.parseArgument(args)
+    val spark: SparkSession =
+      SparkSession
+        .builder()
+        .config(conf)
+        .appName(getClass.getSimpleName)
+        .master(parser.get("master")).getOrCreate()
+
+
+
+    stream.foreach { case (k, v) =>
+      val s: StructType = getSchema(k)
+      val df = spark.read
+        .option("header", "false")
+        .option("charset", "UTF8")
+        .option("delimiter", "\t")
+        .schema(s)
+        .csv(s"${parser.get("sourcePath")}/${v._1}")
+      logger.info(s"Converting $k")
+
+      df.write.mode(SaveMode.Overwrite).save(s"${parser.get("targetPath")}/$k")
+    }
+
+  }
+
+}

dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/mag/SparkPreProcessMAG.scala

@@ -0,0 +1,157 @@
+package eu.dnetlib.doiboost.mag
+
+import eu.dnetlib.dhp.application.ArgumentApplicationParser
+import eu.dnetlib.dhp.schema.oaf.Publication
+import org.apache.commons.io.IOUtils
+import org.apache.spark.SparkConf
+import org.apache.spark.rdd.RDD
+import org.apache.spark.sql.functions._
+import org.apache.spark.sql._
+import org.slf4j.{Logger, LoggerFactory}
+
+import scala.collection.JavaConverters._
+
+object SparkPreProcessMAG {
+  def main(args: Array[String]): Unit = {
+
+    val logger: Logger = LoggerFactory.getLogger(getClass)
+    val conf: SparkConf = new SparkConf()
+    val parser = new ArgumentApplicationParser(IOUtils.toString(getClass.getResourceAsStream("/eu/dnetlib/dhp/doiboost/mag/preprocess_mag_params.json")))
+    parser.parseArgument(args)
+    val spark: SparkSession =
+      SparkSession
+        .builder()
+        .config(conf)
+        .appName(getClass.getSimpleName)
+        .master(parser.get("master")).getOrCreate()
+
+    val sourcePath = parser.get("sourcePath")
+    import spark.implicits._
+    implicit val mapEncoderPubs: Encoder[Publication] = org.apache.spark.sql.Encoders.kryo[Publication]
+    implicit val tupleForJoinEncoder: Encoder[(String, Publication)] = Encoders.tuple(Encoders.STRING, mapEncoderPubs)
+
+    logger.info("Phase 1) make uninque DOI in Papers:")
+    val d: Dataset[MagPapers] = spark.read.load(s"${parser.get("sourcePath")}/Papers").as[MagPapers]
+
+    // Filtering Papers with DOI, and since for the same DOI we have multiple version of item with different PapersId we get the last one
+    val result: RDD[MagPapers] = d.where(col("Doi").isNotNull)
+      .rdd
+      .map{ p: MagPapers => Tuple2(p.Doi, p) }
+      .reduceByKey((p1:MagPapers,p2:MagPapers) => ConversionUtil.choiceLatestMagArtitcle(p1,p2))
+      .map(_._2)
+
+    val distinctPaper: Dataset[MagPapers] = spark.createDataset(result)
+    distinctPaper.write.mode(SaveMode.Overwrite).save(s"${parser.get("targetPath")}/Papers_distinct")
+
+    logger.info("Phase 6) Enrich Publication with description")
+    val pa = spark.read.load(s"${parser.get("sourcePath")}/PaperAbstractsInvertedIndex").as[MagPaperAbstract]
+    pa.map(ConversionUtil.transformPaperAbstract).write.mode(SaveMode.Overwrite).save(s"${parser.get("targetPath")}/PaperAbstract")
+
+    logger.info("Phase 3) Group Author by PaperId")
+    val authors = spark.read.load(s"$sourcePath/Authors").as[MagAuthor]
+
+    val affiliation = spark.read.load(s"$sourcePath/Affiliations").as[MagAffiliation]
+    val paperAuthorAffiliation = spark.read.load(s"$sourcePath/PaperAuthorAffiliations").as[MagPaperAuthorAffiliation]
+
+    paperAuthorAffiliation.joinWith(authors, paperAuthorAffiliation("AuthorId").equalTo(authors("AuthorId")))
+      .map { case (a: MagPaperAuthorAffiliation, b: MagAuthor) => (a.AffiliationId, MagPaperAuthorDenormalized(a.PaperId, b, null)) }
+      .joinWith(affiliation, affiliation("AffiliationId").equalTo(col("_1")), "left")
+      .map(s => {
+        val mpa = s._1._2
+        val af = s._2
+        if (af != null) {
+          MagPaperAuthorDenormalized(mpa.PaperId, mpa.author, af.DisplayName)
+        } else
+          mpa
+      }).groupBy("PaperId").agg(collect_list(struct($"author", $"affiliation")).as("authors"))
+      .write.mode(SaveMode.Overwrite).save(s"${parser.get("targetPath")}/merge_step_1_paper_authors")
+
+    logger.info("Phase 4) create First Version of publication Entity with Paper Journal and Authors")
+
+    val journals = spark.read.load(s"$sourcePath/Journals").as[MagJournal]
+
+    val papers = spark.read.load((s"${parser.get("targetPath")}/Papers_distinct")).as[MagPapers]
+
+    val paperWithAuthors = spark.read.load(s"${parser.get("targetPath")}/merge_step_1_paper_authors").as[MagPaperWithAuthorList]
+
+    val firstJoin = papers.joinWith(journals, papers("JournalId").equalTo(journals("JournalId")), "left")
+    firstJoin.joinWith(paperWithAuthors, firstJoin("_1.PaperId").equalTo(paperWithAuthors("PaperId")), "left")
+      .map { a => ConversionUtil.createOAFFromJournalAuthorPaper(a) }
+      .write.mode(SaveMode.Overwrite).save(s"${parser.get("targetPath")}/merge_step_2")
+
+
+    var magPubs: Dataset[(String, Publication)] =
+      spark.read.load(s"${parser.get("targetPath")}/merge_step_2").as[Publication]
+      .map(p => (ConversionUtil.extractMagIdentifier(p.getOriginalId.asScala), p)).as[(String, Publication)]
+
+
+    val conference = spark.read.load(s"$sourcePath/ConferenceInstances")
+      .select($"ConferenceInstanceId".as("ci"), $"DisplayName", $"Location", $"StartDate",$"EndDate" )
+    val conferenceInstance = conference.joinWith(papers, papers("ConferenceInstanceId").equalTo(conference("ci")))
+      .select($"_1.ci", $"_1.DisplayName", $"_1.Location", $"_1.StartDate",$"_1.EndDate", $"_2.PaperId").as[MagConferenceInstance]
+
+
+    magPubs.joinWith(conferenceInstance, col("_1").equalTo(conferenceInstance("PaperId")), "left")
+      .map(item => ConversionUtil.updatePubsWithConferenceInfo(item))
+      .write
+      .mode(SaveMode.Overwrite)
+      .save(s"${parser.get("targetPath")}/merge_step_2_conference")
+
+
+    magPubs= spark.read.load(s"${parser.get("targetPath")}/merge_step_2_conference").as[Publication]
+      .map(p => (ConversionUtil.extractMagIdentifier(p.getOriginalId.asScala), p)).as[(String, Publication)]
+
+    val paperUrlDataset = spark.read.load(s"$sourcePath/PaperUrls").as[MagPaperUrl].groupBy("PaperId").agg(collect_list(struct("sourceUrl")).as("instances")).as[MagUrl]
+
+
+    logger.info("Phase 5) enrich publication with URL and Instances")
+    magPubs.joinWith(paperUrlDataset, col("_1").equalTo(paperUrlDataset("PaperId")), "left")
+      .map { a: ((String, Publication), MagUrl) => ConversionUtil.addInstances((a._1._2, a._2)) }
+      .write.mode(SaveMode.Overwrite)
+      .save(s"${parser.get("targetPath")}/merge_step_3")
+
+
+//    logger.info("Phase 6) Enrich Publication with description")
+//    val pa = spark.read.load(s"${parser.get("sourcePath")}/PaperAbstractsInvertedIndex").as[MagPaperAbstract]
+//    pa.map(ConversionUtil.transformPaperAbstract).write.mode(SaveMode.Overwrite).save(s"${parser.get("targetPath")}/PaperAbstract")
+
+    val paperAbstract = spark.read.load((s"${parser.get("targetPath")}/PaperAbstract")).as[MagPaperAbstract]
+
+
+    magPubs = spark.read.load(s"${parser.get("targetPath")}/merge_step_3").as[Publication]
+      .map(p => (ConversionUtil.extractMagIdentifier(p.getOriginalId.asScala), p)).as[(String, Publication)]
+
+    magPubs.joinWith(paperAbstract, col("_1").equalTo(paperAbstract("PaperId")), "left")
+      .map(item => ConversionUtil.updatePubsWithDescription(item)
+    ).write.mode(SaveMode.Overwrite).save(s"${parser.get("targetPath")}/merge_step_4")
+
+
+    logger.info("Phase 7) Enrich Publication with FieldOfStudy")
+
+    magPubs = spark.read.load(s"${parser.get("targetPath")}/merge_step_4").as[Publication]
+      .map(p => (ConversionUtil.extractMagIdentifier(p.getOriginalId.asScala), p)).as[(String, Publication)]
+
+    val fos = spark.read.load(s"$sourcePath/FieldsOfStudy").select($"FieldOfStudyId".alias("fos"), $"DisplayName", $"MainType")
+
+    val pfos = spark.read.load(s"$sourcePath/PaperFieldsOfStudy")
+
+    val paperField = pfos.joinWith(fos, fos("fos").equalTo(pfos("FieldOfStudyId")))
+      .select($"_1.FieldOfStudyId", $"_2.DisplayName", $"_2.MainType", $"_1.PaperId", $"_1.Score")
+      .groupBy($"PaperId").agg(collect_list(struct($"FieldOfStudyId", $"DisplayName", $"MainType", $"Score")).as("subjects"))
+      .as[MagFieldOfStudy]
+
+    magPubs.joinWith(paperField, col("_1")
+      .equalTo(paperField("PaperId")), "left")
+      .map(item => ConversionUtil.updatePubsWithSubject(item))
+      .write.mode(SaveMode.Overwrite)
+      .save(s"${parser.get("targetPath")}/mag_publication")
+
+
+    val s:RDD[Publication] = spark.read.load(s"${parser.get("targetPath")}/mag_publication").as[Publication]
+      .map(p=>Tuple2(p.getId, p)).rdd.reduceByKey((a:Publication, b:Publication) => ConversionUtil.mergePublication(a,b))
+    .map(_._2)
+
+    spark.createDataset(s).as[Publication].write.mode(SaveMode.Overwrite).save(s"${parser.get("targetPath")}/mag_publication_u")
+
+  }
+}

dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/orcid/ActivitiesDecompressor.java

@@ -0,0 +1,146 @@
+
+package eu.dnetlib.doiboost.orcid;
+
+import java.io.BufferedReader;
+import java.io.IOException;
+import java.io.InputStream;
+import java.io.InputStreamReader;
+import java.net.URI;
+
+import org.apache.commons.compress.archivers.tar.TarArchiveEntry;
+import org.apache.commons.compress.archivers.tar.TarArchiveInputStream;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.fs.FileSystem;
+import org.apache.hadoop.fs.Path;
+import org.apache.hadoop.io.IOUtils;
+import org.apache.hadoop.io.SequenceFile;
+import org.apache.hadoop.io.Text;
+import org.apache.hadoop.io.compress.CompressionCodec;
+import org.apache.hadoop.io.compress.CompressionCodecFactory;
+import org.mortbay.log.Log;
+
+import eu.dnetlib.doiboost.orcid.json.JsonWriter;
+import eu.dnetlib.doiboost.orcid.model.WorkData;
+import eu.dnetlib.doiboost.orcid.xml.XMLRecordParser;
+
+public class ActivitiesDecompressor {
+
+	private static final int MAX_XML_WORKS_PARSED = -1;
+	private static final int XML_WORKS_PARSED_COUNTER_LOG_INTERVAL = 100000;
+
+	public static void parseGzActivities(Configuration conf, String inputUri, Path outputPath)
+		throws Exception {
+		String uri = inputUri;
+		FileSystem fs = FileSystem.get(URI.create(uri), conf);
+		Path inputPath = new Path(uri);
+		CompressionCodecFactory factory = new CompressionCodecFactory(conf);
+		CompressionCodec codec = factory.getCodec(inputPath);
+		if (codec == null) {
+			System.err.println("No codec found for " + uri);
+			System.exit(1);
+		}
+		CompressionCodecFactory.removeSuffix(uri, codec.getDefaultExtension());
+		InputStream gzipInputStream = null;
+		try {
+			gzipInputStream = codec.createInputStream(fs.open(inputPath));
+			parseTarActivities(fs, conf, gzipInputStream, outputPath);
+
+		} finally {
+			Log.debug("Closing gzip stream");
+			IOUtils.closeStream(gzipInputStream);
+		}
+	}
+
+	private static void parseTarActivities(
+		FileSystem fs, Configuration conf, InputStream gzipInputStream, Path outputPath) {
+		int counter = 0;
+		int doiFound = 0;
+		int errorFromOrcidFound = 0;
+		int xmlParserErrorFound = 0;
+		try (TarArchiveInputStream tais = new TarArchiveInputStream(gzipInputStream)) {
+			TarArchiveEntry entry = null;
+
+			try (SequenceFile.Writer writer = SequenceFile
+				.createWriter(
+					conf,
+					SequenceFile.Writer.file(outputPath),
+					SequenceFile.Writer.keyClass(Text.class),
+					SequenceFile.Writer.valueClass(Text.class))) {
+				while ((entry = tais.getNextTarEntry()) != null) {
+					String filename = entry.getName();
+
+					try {
+						if (entry.isDirectory() || !filename.contains("works")) {
+
+						} else {
+							Log.debug("XML work entry name: " + entry.getName());
+							counter++;
+							BufferedReader br = new BufferedReader(new InputStreamReader(tais)); // Read directly from
+																									// tarInput
+							String line;
+							StringBuffer buffer = new StringBuffer();
+							while ((line = br.readLine()) != null) {
+								buffer.append(line);
+							}
+							WorkData workData = XMLRecordParser.VTDParseWorkData(buffer.toString().getBytes());
+							if (workData != null) {
+								if (workData.getErrorCode() != null) {
+									errorFromOrcidFound += 1;
+									Log
+										.debug(
+											"error from Orcid with code "
+												+ workData.getErrorCode()
+												+ " for entry "
+												+ entry.getName());
+									continue;
+								}
+								if (workData.isDoiFound()) {
+									String jsonData = JsonWriter.create(workData);
+									Log.debug("oid: " + workData.getOid() + " data: " + jsonData);
+
+									final Text key = new Text(workData.getOid());
+									final Text value = new Text(jsonData);
+
+									try {
+										writer.append(key, value);
+									} catch (IOException e) {
+										Log.debug("Writing to sequence file: " + e.getMessage());
+										Log.debug(e);
+										throw new RuntimeException(e);
+									}
+									doiFound += 1;
+								}
+
+							} else {
+								Log.warn("Data not retrievable [" + entry.getName() + "] " + buffer.toString());
+								xmlParserErrorFound += 1;
+							}
+						}
+					} catch (Exception e) {
+						Log
+							.warn(
+								"Parsing work from tar archive and xml work: " + filename + "  " + e.getMessage());
+						Log.warn(e);
+					}
+
+					if ((counter % XML_WORKS_PARSED_COUNTER_LOG_INTERVAL) == 0) {
+						Log.info("Current xml works parsed: " + counter);
+					}
+
+					if ((MAX_XML_WORKS_PARSED > -1) && (counter > MAX_XML_WORKS_PARSED)) {
+						break;
+					}
+				}
+			}
+		} catch (IOException e) {
+			Log.warn("Parsing work from gzip archive: " + e.getMessage());
+			Log.warn(e);
+			throw new RuntimeException(e);
+		}
+		Log.info("Activities parse completed");
+		Log.info("Total XML works parsed: " + counter);
+		Log.info("Total doi found: " + doiFound);
+		Log.info("Error from Orcid found: " + errorFromOrcidFound);
+		Log.info("Error parsing xml work found: " + xmlParserErrorFound);
+	}
+}

dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/orcid/ORCIDToOAF.scala

@@ -0,0 +1,87 @@
+package eu.dnetlib.doiboost.orcid
+
+import java.io.IOException
+
+import eu.dnetlib.dhp.schema.oaf.{Author, Publication}
+import eu.dnetlib.doiboost.DoiBoostMappingUtil
+import eu.dnetlib.doiboost.DoiBoostMappingUtil.{ORCID, PID_TYPES, createSP, generateDataInfo, generateIdentifier}
+import eu.dnetlib.doiboost.crossref.Crossref2Oaf
+import org.apache.commons.lang.StringUtils
+import org.codehaus.jackson.map.ObjectMapper
+import org.json4s
+import org.json4s.DefaultFormats
+import org.json4s.jackson.JsonMethods.parse
+import org.slf4j.{Logger, LoggerFactory}
+
+import scala.collection.JavaConverters._
+
+
+case class ORCIDItem(oid:String,name:String,surname:String,creditName:String,errorCode:String){}
+
+
+
+case class ORCIDElement(doi:String, authors:List[ORCIDItem]) {}
+object ORCIDToOAF {
+  val logger: Logger = LoggerFactory.getLogger(Crossref2Oaf.getClass)
+  val mapper = new ObjectMapper
+
+  def isJsonValid(inputStr: String): Boolean = {
+    import java.io.IOException
+    try {
+      mapper.readTree(inputStr)
+      true
+    } catch {
+      case e: IOException =>
+        false
+    }
+  }
+
+  def extractValueFromInputString(input: String): (String, String) = {
+    val i = input.indexOf('[')
+    if (i <5) {
+      return null
+    }
+    val orcidList = input.substring(i, input.length - 1)
+    val doi = input.substring(1, i - 1)
+    if (isJsonValid(orcidList)) {
+      (doi, orcidList)
+    } else null
+  }
+
+
+  def convertTOOAF(input:ORCIDElement) :Publication = {
+    val doi = input.doi
+    val pub:Publication = new Publication
+    pub.setPid(List(createSP(doi, "doi", PID_TYPES)).asJava)
+    pub.setDataInfo(generateDataInfo())
+    pub.setId(generateIdentifier(pub, doi.toLowerCase))
+    try{
+      pub.setAuthor(input.authors.map(a=> {
+        generateAuhtor(a.name, a.surname, a.creditName, a.oid)
+      }).asJava)
+      pub.setCollectedfrom(List(DoiBoostMappingUtil.createORIDCollectedFrom()).asJava)
+      pub.setDataInfo(DoiBoostMappingUtil.generateDataInfo())
+      pub
+    } catch {
+      case e: Throwable =>
+        logger.info(s"ERROR ON GENERATE Publication from $input")
+        null
+    }
+  }
+
+  def generateAuhtor(given: String, family: String, fullName:String, orcid: String): Author = {
+    val a = new Author
+    a.setName(given)
+    a.setSurname(family)
+    if (fullName!= null && fullName.nonEmpty)
+      a.setFullname(fullName)
+    else
+      a.setFullname(s"$given $family")
+    if (StringUtils.isNotBlank(orcid))
+      a.setPid(List(createSP(orcid, ORCID, PID_TYPES)).asJava)
+
+    a
+  }
+
+
+}

dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/orcid/OrcidAuthorsDOIsDataGen.java

@@ -0,0 +1,51 @@
+
+package eu.dnetlib.doiboost.orcid;
+
+import java.io.IOException;
+
+import org.apache.commons.io.IOUtils;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.fs.FileSystem;
+import org.apache.hadoop.fs.Path;
+import org.mortbay.log.Log;
+
+import eu.dnetlib.dhp.application.ArgumentApplicationParser;
+
+public class OrcidAuthorsDOIsDataGen extends OrcidDSManager {
+
+	private String activitiesFileNameTarGz;
+	private String outputAuthorsDOIsPath;
+
+	public static void main(String[] args) throws IOException, Exception {
+		OrcidAuthorsDOIsDataGen orcidAuthorsDOIsDataGen = new OrcidAuthorsDOIsDataGen();
+		orcidAuthorsDOIsDataGen.loadArgs(args);
+		orcidAuthorsDOIsDataGen.generateAuthorsDOIsData();
+	}
+
+	public void generateAuthorsDOIsData() throws Exception {
+		Configuration conf = initConfigurationObject();
+		FileSystem fs = initFileSystemObject(conf);
+		String tarGzUri = hdfsServerUri.concat(hdfsOrcidDefaultPath).concat(activitiesFileNameTarGz);
+		Path outputPath = new Path(hdfsServerUri.concat(hdfsOrcidDefaultPath).concat(outputAuthorsDOIsPath));
+		ActivitiesDecompressor.parseGzActivities(conf, tarGzUri, outputPath);
+	}
+
+	private void loadArgs(String[] args) throws IOException, Exception {
+		final ArgumentApplicationParser parser = new ArgumentApplicationParser(
+			IOUtils
+				.toString(
+					OrcidAuthorsDOIsDataGen.class
+						.getResourceAsStream(
+							"/eu/dnetlib/dhp/doiboost/create_orcid_authors_dois_data.json")));
+		parser.parseArgument(args);
+
+		hdfsServerUri = parser.get("hdfsServerUri");
+		Log.info("HDFS URI: " + hdfsServerUri);
+		hdfsOrcidDefaultPath = parser.get("hdfsOrcidDefaultPath");
+		Log.info("Default Path: " + hdfsOrcidDefaultPath);
+		activitiesFileNameTarGz = parser.get("activitiesFileNameTarGz");
+		Log.info("Activities File Name: " + activitiesFileNameTarGz);
+		outputAuthorsDOIsPath = parser.get("outputAuthorsDOIsPath");
+		Log.info("Output Authors DOIs Data: " + outputAuthorsDOIsPath);
+	}
+}

dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/orcid/OrcidDSManager.java

@@ -0,0 +1,81 @@
+
+package eu.dnetlib.doiboost.orcid;
+
+import java.io.IOException;
+import java.net.URI;
+
+import org.apache.commons.io.IOUtils;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.fs.FileSystem;
+import org.apache.hadoop.fs.Path;
+import org.mortbay.log.Log;
+
+import eu.dnetlib.dhp.application.ArgumentApplicationParser;
+
+public class OrcidDSManager {
+
+	protected String hdfsServerUri;
+	protected String hdfsOrcidDefaultPath;
+	private String summariesFileNameTarGz;
+	private String outputAuthorsPath;
+
+	public static void main(String[] args) throws IOException, Exception {
+		OrcidDSManager orcidDSManager = new OrcidDSManager();
+		orcidDSManager.loadArgs(args);
+		orcidDSManager.generateAuthors();
+	}
+
+	public void generateAuthors() throws Exception {
+		Configuration conf = initConfigurationObject();
+		FileSystem fs = initFileSystemObject(conf);
+		String tarGzUri = hdfsServerUri.concat(hdfsOrcidDefaultPath).concat(summariesFileNameTarGz);
+		Path outputPath = new Path(
+			hdfsServerUri
+				.concat(hdfsOrcidDefaultPath)
+				.concat(outputAuthorsPath)
+				.concat("authors.seq"));
+		SummariesDecompressor.parseGzSummaries(conf, tarGzUri, outputPath);
+	}
+
+	protected Configuration initConfigurationObject() {
+		// ====== Init HDFS File System Object
+		Configuration conf = new Configuration();
+		// Set FileSystem URI
+		conf.set("fs.defaultFS", hdfsServerUri.concat(hdfsOrcidDefaultPath));
+		// Because of Maven
+		conf.set("fs.hdfs.impl", org.apache.hadoop.hdfs.DistributedFileSystem.class.getName());
+		conf.set("fs.file.impl", org.apache.hadoop.fs.LocalFileSystem.class.getName());
+		return conf;
+	}
+
+	protected FileSystem initFileSystemObject(Configuration conf) {
+		// Get the filesystem - HDFS
+		FileSystem fs = null;
+		try {
+			fs = FileSystem.get(URI.create(hdfsServerUri.concat(hdfsOrcidDefaultPath)), conf);
+		} catch (IOException e) {
+			// TODO Auto-generated catch block
+			e.printStackTrace();
+		}
+		return fs;
+	}
+
+	private void loadArgs(String[] args) throws IOException, Exception {
+		final ArgumentApplicationParser parser = new ArgumentApplicationParser(
+			IOUtils
+				.toString(
+					OrcidDSManager.class
+						.getResourceAsStream(
+							"/eu/dnetlib/dhp/doiboost/create_orcid_authors_data.json")));
+		parser.parseArgument(args);
+
+		hdfsServerUri = parser.get("hdfsServerUri");
+		Log.info("HDFS URI: " + hdfsServerUri);
+		hdfsOrcidDefaultPath = parser.get("hdfsOrcidDefaultPath");
+		Log.info("Default Path: " + hdfsOrcidDefaultPath);
+		summariesFileNameTarGz = parser.get("summariesFileNameTarGz");
+		Log.info("Summaries File Name: " + summariesFileNameTarGz);
+		outputAuthorsPath = parser.get("outputAuthorsPath");
+		Log.info("Output Authors Data: " + outputAuthorsPath);
+	}
+}

dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/orcid/OrcidDownloader.java

@@ -0,0 +1,203 @@
+
+package eu.dnetlib.doiboost.orcid;
+
+import java.io.BufferedReader;
+import java.io.IOException;
+import java.io.InputStreamReader;
+import java.text.SimpleDateFormat;
+import java.util.Arrays;
+import java.util.Date;
+import java.util.List;
+
+import org.apache.commons.io.IOUtils;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.fs.FSDataInputStream;
+import org.apache.hadoop.fs.FileSystem;
+import org.apache.hadoop.fs.Path;
+import org.apache.hadoop.io.SequenceFile;
+import org.apache.hadoop.io.Text;
+import org.apache.http.client.methods.CloseableHttpResponse;
+import org.apache.http.client.methods.HttpGet;
+import org.apache.http.impl.client.CloseableHttpClient;
+import org.apache.http.impl.client.HttpClients;
+import org.mortbay.log.Log;
+
+import eu.dnetlib.dhp.application.ArgumentApplicationParser;
+
+public class OrcidDownloader extends OrcidDSManager {
+
+	static final int REQ_LIMIT = 24;
+//	static final int REQ_MAX_TEST = 100;
+	static final int RECORD_PARSED_COUNTER_LOG_INTERVAL = 10000;
+	static final String DATE_FORMAT = "yyyy-MM-dd HH:mm:ss";
+	static final String lastUpdate = "2019-09-30 00:00:00";
+	private String lambdaFileName;
+	private String outputPath;
+	private String token;
+
+	public static void main(String[] args) throws IOException, Exception {
+		OrcidDownloader orcidDownloader = new OrcidDownloader();
+		orcidDownloader.loadArgs(args);
+		orcidDownloader.parseLambdaFile();
+	}
+
+	private String downloadRecord(String orcidId) {
+		try (CloseableHttpClient client = HttpClients.createDefault()) {
+			HttpGet httpGet = new HttpGet("https://api.orcid.org/v3.0/" + orcidId + "/record");
+			httpGet.addHeader("Accept", "application/vnd.orcid+xml");
+			httpGet.addHeader("Authorization", String.format("Bearer %s", token));
+			CloseableHttpResponse response = client.execute(httpGet);
+			if (response.getStatusLine().getStatusCode() != 200) {
+				Log
+					.warn(
+						"Downloading " + orcidId + " status code: " + response.getStatusLine().getStatusCode());
+				return new String("");
+			}
+			return IOUtils.toString(response.getEntity().getContent());
+
+		} catch (Throwable e) {
+			Log.warn("Downloading " + orcidId, e.getMessage());
+
+		}
+		return new String("");
+	}
+
+	public void parseLambdaFile() throws Exception {
+		int parsedRecordsCounter = 0;
+		int downloadedRecordsCounter = 0;
+		int savedRecordsCounter = 0;
+		long startDownload = 0;
+		Configuration conf = initConfigurationObject();
+		FileSystem fs = initFileSystemObject(conf);
+		String lambdaFileUri = hdfsServerUri.concat(hdfsOrcidDefaultPath).concat(lambdaFileName);
+		Path hdfsreadpath = new Path(lambdaFileUri);
+		FSDataInputStream lambdaFileStream = fs.open(hdfsreadpath);
+		Path hdfsoutputPath = new Path(
+			hdfsServerUri
+				.concat(hdfsOrcidDefaultPath)
+				.concat(outputPath)
+				.concat("orcid_records.seq"));
+
+		try (SequenceFile.Writer writer = SequenceFile
+			.createWriter(
+				conf,
+				SequenceFile.Writer.file(hdfsoutputPath),
+				SequenceFile.Writer.keyClass(Text.class),
+				SequenceFile.Writer.valueClass(Text.class))) {
+
+			try (BufferedReader br = new BufferedReader(new InputStreamReader(lambdaFileStream))) {
+				String line;
+				int nReqTmp = 0;
+				startDownload = System.currentTimeMillis();
+				long startReqTmp = System.currentTimeMillis();
+				while ((line = br.readLine()) != null) {
+					parsedRecordsCounter++;
+					// skip headers line
+					if (parsedRecordsCounter == 1) {
+						continue;
+					}
+					String[] values = line.split(",");
+					List<String> recordInfo = Arrays.asList(values);
+					String orcidId = recordInfo.get(0);
+					if (isModified(orcidId, recordInfo.get(3))) {
+						String record = downloadRecord(orcidId);
+						downloadedRecordsCounter++;
+						if (!record.isEmpty()) {
+							String compressRecord = ArgumentApplicationParser.compressArgument(record);
+							final Text key = new Text(recordInfo.get(0));
+							final Text value = new Text(compressRecord);
+
+							try {
+								writer.append(key, value);
+								savedRecordsCounter++;
+							} catch (IOException e) {
+								Log.warn("Writing to sequence file: " + e.getMessage());
+								Log.warn(e);
+								throw new RuntimeException(e);
+							}
+						}
+					}
+					long endReq = System.currentTimeMillis();
+					nReqTmp++;
+					if (nReqTmp == REQ_LIMIT) {
+						long reqSessionDuration = endReq - startReqTmp;
+						if (reqSessionDuration <= 1000) {
+							Log
+								.warn(
+									"\nreqSessionDuration: "
+										+ reqSessionDuration
+										+ " nReqTmp: "
+										+ nReqTmp
+										+ " wait ....");
+							Thread.sleep(1000 - reqSessionDuration);
+						} else {
+							nReqTmp = 0;
+							startReqTmp = System.currentTimeMillis();
+						}
+					}
+
+//					if (parsedRecordsCounter > REQ_MAX_TEST) {
+//						break;
+//					}
+					if ((parsedRecordsCounter % RECORD_PARSED_COUNTER_LOG_INTERVAL) == 0) {
+						Log
+							.info(
+								"Current parsed: "
+									+ parsedRecordsCounter
+									+ " downloaded: "
+									+ downloadedRecordsCounter
+									+ " saved: "
+									+ savedRecordsCounter);
+//						if (parsedRecordsCounter > REQ_MAX_TEST) {
+//							break;
+//						}
+					}
+				}
+				long endDownload = System.currentTimeMillis();
+				long downloadTime = endDownload - startDownload;
+				Log.info("Download time: " + ((downloadTime / 1000) / 60) + " minutes");
+			}
+		}
+		lambdaFileStream.close();
+		Log.info("Download started at: " + new Date(startDownload).toString());
+		Log.info("Parsed Records Counter: " + parsedRecordsCounter);
+		Log.info("Downloaded Records Counter: " + downloadedRecordsCounter);
+		Log.info("Saved Records Counter: " + savedRecordsCounter);
+	}
+
+	private void loadArgs(String[] args) throws IOException, Exception {
+		final ArgumentApplicationParser parser = new ArgumentApplicationParser(
+			IOUtils
+				.toString(
+					OrcidDownloader.class
+						.getResourceAsStream(
+							"/eu/dnetlib/dhp/doiboost/download_orcid_data.json")));
+		parser.parseArgument(args);
+
+		hdfsServerUri = parser.get("hdfsServerUri");
+		Log.info("HDFS URI: " + hdfsServerUri);
+		hdfsOrcidDefaultPath = parser.get("hdfsOrcidDefaultPath");
+		Log.info("Default Path: " + hdfsOrcidDefaultPath);
+		lambdaFileName = parser.get("lambdaFileName");
+		Log.info("Lambda File Name: " + lambdaFileName);
+		outputPath = parser.get("outputPath");
+		Log.info("Output Data: " + outputPath);
+		token = parser.get("token");
+	}
+
+	private boolean isModified(String orcidId, String modifiedDate) {
+		Date modifiedDateDt = null;
+		Date lastUpdateDt = null;
+		try {
+			if (modifiedDate.length() != 19) {
+				modifiedDate = modifiedDate.substring(0, 19);
+			}
+			modifiedDateDt = new SimpleDateFormat(DATE_FORMAT).parse(modifiedDate);
+			lastUpdateDt = new SimpleDateFormat(DATE_FORMAT).parse(lastUpdate);
+		} catch (Exception e) {
+			Log.warn("[" + orcidId + "] Parsing date: ", e.getMessage());
+			return true;
+		}
+		return modifiedDateDt.after(lastUpdateDt);
+	}
+}

dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/orcid/SparkConvertORCIDToOAF.scala

@@ -0,0 +1,44 @@
+package eu.dnetlib.doiboost.orcid
+
+import eu.dnetlib.dhp.application.ArgumentApplicationParser
+import eu.dnetlib.dhp.schema.oaf.Publication
+import eu.dnetlib.doiboost.mag.ConversionUtil
+import org.apache.commons.io.IOUtils
+import org.apache.spark.SparkConf
+import org.apache.spark.rdd.RDD
+import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
+import org.slf4j.{Logger, LoggerFactory}
+
+object SparkConvertORCIDToOAF {
+
+
+
+  def main(args: Array[String]): Unit = {
+
+    val logger: Logger = LoggerFactory.getLogger(SparkConvertORCIDToOAF.getClass)
+    val conf: SparkConf = new SparkConf()
+    val parser = new ArgumentApplicationParser(IOUtils.toString(SparkConvertORCIDToOAF.getClass.getResourceAsStream("/eu/dnetlib/dhp/doiboost/convert_map_to_oaf_params.json")))
+    parser.parseArgument(args)
+    val spark: SparkSession =
+      SparkSession
+        .builder()
+        .config(conf)
+        .appName(getClass.getSimpleName)
+        .master(parser.get("master")).getOrCreate()
+
+    implicit val mapEncoderPubs: Encoder[Publication] = Encoders.kryo[Publication]
+    implicit val tupleForJoinEncoder: Encoder[(String, Publication)] = Encoders.tuple(Encoders.STRING, mapEncoderPubs)
+    import spark.implicits._
+    val sourcePath = parser.get("sourcePath")
+    val targetPath = parser.get("targetPath")
+    val dataset:Dataset[ORCIDElement] = spark.read.json(sourcePath).as[ORCIDElement]
+
+
+    logger.info("Converting ORCID to OAF")
+    val d:RDD[Publication] = dataset.map(o => ORCIDToOAF.convertTOOAF(o)).filter(p=>p!=null).map(p=>(p.getId,p)).rdd.reduceByKey(ConversionUtil.mergePublication)
+      .map(_._2)
+
+    spark.createDataset(d).as[Publication].write.mode(SaveMode.Overwrite).save(targetPath)
+  }
+
+}

dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/orcid/SparkGenerateDoiAuthorList.java

@@ -0,0 +1,180 @@
+
+package eu.dnetlib.doiboost.orcid;
+
+import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
+
+import java.io.IOException;
+import java.util.Arrays;
+import java.util.List;
+import java.util.Objects;
+import java.util.Optional;
+import java.util.stream.Collectors;
+import java.util.stream.Stream;
+
+import org.apache.commons.io.IOUtils;
+import org.apache.hadoop.io.Text;
+import org.apache.hadoop.io.compress.GzipCodec;
+import org.apache.hadoop.mapreduce.Job;
+import org.apache.hadoop.mapreduce.lib.output.SequenceFileOutputFormat;
+import org.apache.spark.SparkConf;
+import org.apache.spark.api.java.JavaPairRDD;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.api.java.function.Function;
+import org.apache.spark.api.java.function.MapFunction;
+import org.apache.spark.sql.Dataset;
+import org.apache.spark.sql.Encoders;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import com.esotericsoftware.minlog.Log;
+import com.fasterxml.jackson.databind.ObjectMapper;
+import com.google.gson.JsonElement;
+import com.google.gson.JsonParser;
+
+import eu.dnetlib.dhp.application.ArgumentApplicationParser;
+import eu.dnetlib.doiboost.orcid.model.AuthorData;
+import eu.dnetlib.doiboost.orcid.model.WorkData;
+import scala.Tuple2;
+
+public class SparkGenerateDoiAuthorList {
+
+	public static void main(String[] args) throws IOException, Exception {
+		Logger logger = LoggerFactory.getLogger(SparkGenerateDoiAuthorList.class);
+		logger.info("[ SparkGenerateDoiAuthorList STARTED]");
+
+		final ArgumentApplicationParser parser = new ArgumentApplicationParser(
+			IOUtils
+				.toString(
+					SparkGenerateDoiAuthorList.class
+						.getResourceAsStream(
+							"/eu/dnetlib/dhp/doiboost/gen_doi_author_list_orcid_parameters.json")));
+		parser.parseArgument(args);
+		Boolean isSparkSessionManaged = Optional
+			.ofNullable(parser.get("isSparkSessionManaged"))
+			.map(Boolean::valueOf)
+			.orElse(Boolean.TRUE);
+		logger.info("isSparkSessionManaged: {}", isSparkSessionManaged);
+		final String workingPath = parser.get("workingPath");
+		logger.info("workingPath: ", workingPath);
+		final String outputDoiAuthorListPath = parser.get("outputDoiAuthorListPath");
+		logger.info("outputDoiAuthorListPath: ", outputDoiAuthorListPath);
+
+		SparkConf conf = new SparkConf();
+		runWithSparkSession(
+			conf,
+			isSparkSessionManaged,
+			spark -> {
+				JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
+
+				JavaPairRDD<Text, Text> summariesRDD = sc
+					.sequenceFile(workingPath + "../orcid_summaries/output/authors.seq", Text.class, Text.class);
+				Dataset<AuthorData> summariesDataset = spark
+					.createDataset(
+						summariesRDD.map(seq -> loadAuthorFromJson(seq._1(), seq._2())).rdd(),
+						Encoders.bean(AuthorData.class));
+
+				JavaPairRDD<Text, Text> activitiesRDD = sc
+					.sequenceFile(workingPath + "/output/*.seq", Text.class, Text.class);
+				Dataset<WorkData> activitiesDataset = spark
+					.createDataset(
+						activitiesRDD.map(seq -> loadWorkFromJson(seq._1(), seq._2())).rdd(),
+						Encoders.bean(WorkData.class));
+
+				Function<Tuple2<String, AuthorData>, Tuple2<String, List<AuthorData>>> toAuthorListFunction = data -> {
+					try {
+						String doi = data._1();
+						if (doi == null) {
+							return null;
+						}
+						AuthorData author = data._2();
+						if (author == null) {
+							return null;
+						}
+						List<AuthorData> toAuthorList = Arrays.asList(author);
+						return new Tuple2<>(doi, toAuthorList);
+					} catch (Exception e) {
+						Log.error("toAuthorListFunction ERROR", e);
+						return null;
+					}
+				};
+
+				JavaRDD<Tuple2<String, List<AuthorData>>> doisRDD = activitiesDataset
+					.joinWith(
+						summariesDataset,
+						activitiesDataset.col("oid").equalTo(summariesDataset.col("oid")), "inner")
+					.map(
+						(MapFunction<Tuple2<WorkData, AuthorData>, Tuple2<String, AuthorData>>) value -> {
+							WorkData w = value._1;
+							AuthorData a = value._2;
+							return new Tuple2<>(w.getDoi(), a);
+						},
+						Encoders.tuple(Encoders.STRING(), Encoders.bean(AuthorData.class)))
+					.filter(Objects::nonNull)
+					.toJavaRDD()
+					.map(toAuthorListFunction);
+
+				JavaPairRDD
+					.fromJavaRDD(doisRDD)
+					.reduceByKey((d1, d2) -> {
+						try {
+							if (d1 != null && d2 != null) {
+								Stream<AuthorData> mergedStream = Stream
+									.concat(
+										d1.stream(),
+										d2.stream());
+								List<AuthorData> mergedAuthors = mergedStream.collect(Collectors.toList());
+								return mergedAuthors;
+							}
+							if (d1 != null) {
+								return d1;
+							}
+							if (d2 != null) {
+								return d2;
+							}
+						} catch (Exception e) {
+							Log.error("mergeAuthorsFunction ERROR", e);
+							return null;
+						}
+						return null;
+					})
+					.mapToPair(
+						s -> {
+							ObjectMapper mapper = new ObjectMapper();
+							return new Tuple2<>(s._1(), mapper.writeValueAsString(s._2()));
+						})
+					.repartition(10)
+					.saveAsTextFile(workingPath + outputDoiAuthorListPath);
+			});
+
+	}
+
+	private static AuthorData loadAuthorFromJson(Text orcidId, Text json) {
+		AuthorData authorData = new AuthorData();
+		authorData.setOid(orcidId.toString());
+		JsonElement jElement = new JsonParser().parse(json.toString());
+		authorData.setName(getJsonValue(jElement, "name"));
+		authorData.setSurname(getJsonValue(jElement, "surname"));
+		authorData.setCreditName(getJsonValue(jElement, "creditname"));
+		return authorData;
+	}
+
+	private static WorkData loadWorkFromJson(Text orcidId, Text json) {
+		WorkData workData = new WorkData();
+		workData.setOid(orcidId.toString());
+		JsonElement jElement = new JsonParser().parse(json.toString());
+		workData.setDoi(getJsonValue(jElement, "doi"));
+		return workData;
+	}
+
+	private static String getJsonValue(JsonElement jElement, String property) {
+		if (jElement.getAsJsonObject().has(property)) {
+			JsonElement name = null;
+			name = jElement.getAsJsonObject().get(property);
+			if (name != null && !name.isJsonNull()) {
+				return name.getAsString();
+			}
+		}
+		return null;
+	}
+}

dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/orcid/SparkOrcidGenerateAuthors.java

@@ -0,0 +1,165 @@
+
+package eu.dnetlib.doiboost.orcid;
+
+import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
+
+import java.io.IOException;
+import java.text.SimpleDateFormat;
+import java.util.Date;
+import java.util.List;
+import java.util.Optional;
+
+import org.apache.commons.io.IOUtils;
+import org.apache.hadoop.io.Text;
+import org.apache.http.client.methods.CloseableHttpResponse;
+import org.apache.http.client.methods.HttpGet;
+import org.apache.http.impl.client.CloseableHttpClient;
+import org.apache.http.impl.client.HttpClients;
+import org.apache.spark.SparkConf;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.api.java.function.Function;
+import org.apache.spark.sql.Encoders;
+import org.apache.spark.sql.SaveMode;
+import org.apache.spark.util.LongAccumulator;
+import org.mortbay.log.Log;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import eu.dnetlib.dhp.application.ArgumentApplicationParser;
+import eu.dnetlib.doiboost.orcid.model.DownloadedRecordData;
+import scala.Tuple2;
+
+public class SparkOrcidGenerateAuthors {
+
+	static final String DATE_FORMAT = "yyyy-MM-dd HH:mm:ss";
+	static final String lastUpdate = "2019-09-30 00:00:00";
+
+	public static void main(String[] args) throws IOException, Exception {
+		Logger logger = LoggerFactory.getLogger(SparkOrcidGenerateAuthors.class);
+		logger.info("[ SparkOrcidGenerateAuthors STARTED]");
+
+		final ArgumentApplicationParser parser = new ArgumentApplicationParser(
+			IOUtils
+				.toString(
+					SparkOrcidGenerateAuthors.class
+						.getResourceAsStream(
+							"/eu/dnetlib/dhp/doiboost/gen_orcid_authors_parameters.json")));
+		parser.parseArgument(args);
+		Boolean isSparkSessionManaged = Optional
+			.ofNullable(parser.get("isSparkSessionManaged"))
+			.map(Boolean::valueOf)
+			.orElse(Boolean.TRUE);
+		logger.info("isSparkSessionManaged: {}", isSparkSessionManaged);
+		final String workingPath = parser.get("workingPath");
+		logger.info("workingPath: ", workingPath);
+		final String outputAuthorsPath = parser.get("outputAuthorsPath");
+		logger.info("outputAuthorsPath: ", outputAuthorsPath);
+		final String token = parser.get("token");
+
+		SparkConf conf = new SparkConf();
+		runWithSparkSession(
+			conf,
+			isSparkSessionManaged,
+			spark -> {
+				JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
+
+				LongAccumulator parsedRecordsAcc = sc.sc().longAccumulator("parsedRecords");
+				LongAccumulator modifiedRecordsAcc = sc.sc().longAccumulator("modifiedRecords");
+				LongAccumulator downloadedRecordsAcc = sc.sc().longAccumulator("downloadedRecords");
+				LongAccumulator alreadyDownloadedRecords = sc.sc().longAccumulator("alreadyDownloadedRecords");
+				JavaRDD<String> lamdaFileRDD = sc.textFile(workingPath + "lamdafiles");
+
+				JavaRDD<String> downloadedRDD = sc.textFile(workingPath + "downloaded");
+				Function<String, String> getOrcidIdFunction = line -> {
+					try {
+						String[] values = line.split(",");
+						return values[0].substring(1);
+					} catch (Exception e) {
+						return new String("");
+					}
+				};
+				List<String> downloadedRecords = downloadedRDD.map(getOrcidIdFunction).collect();
+
+				Function<String, Boolean> isModifiedAfterFilter = line -> {
+					String[] values = line.split(",");
+					String orcidId = values[0];
+					parsedRecordsAcc.add(1);
+					if (isModified(orcidId, values[3])) {
+						modifiedRecordsAcc.add(1);
+						return true;
+					}
+					return false;
+				};
+				Function<String, Boolean> isNotDownloadedFilter = line -> {
+					String[] values = line.split(",");
+					String orcidId = values[0];
+					if (downloadedRecords.contains(orcidId)) {
+						alreadyDownloadedRecords.add(1);
+						return false;
+					}
+					return true;
+				};
+				Function<String, Tuple2<String, String>> downloadRecordFunction = line -> {
+					String[] values = line.split(",");
+					String orcidId = values[0];
+					String modifiedDate = values[3];
+					return downloadRecord(orcidId, modifiedDate, token, downloadedRecordsAcc);
+				};
+
+				lamdaFileRDD
+					.filter(isModifiedAfterFilter)
+					.filter(isNotDownloadedFilter)
+					.map(downloadRecordFunction)
+					.rdd()
+					.saveAsTextFile(workingPath.concat(outputAuthorsPath));
+			});
+
+	}
+
+	private static boolean isModified(String orcidId, String modifiedDate) {
+		Date modifiedDateDt = null;
+		Date lastUpdateDt = null;
+		try {
+			if (modifiedDate.length() != 19) {
+				modifiedDate = modifiedDate.substring(0, 19);
+			}
+			modifiedDateDt = new SimpleDateFormat(DATE_FORMAT).parse(modifiedDate);
+			lastUpdateDt = new SimpleDateFormat(DATE_FORMAT).parse(lastUpdate);
+		} catch (Exception e) {
+			Log.warn("[" + orcidId + "] Parsing date: ", e.getMessage());
+			return true;
+		}
+		return modifiedDateDt.after(lastUpdateDt);
+	}
+
+	private static Tuple2<String, String> downloadRecord(String orcidId, String modifiedDate, String token,
+		LongAccumulator downloadedRecordsAcc) {
+		final DownloadedRecordData data = new DownloadedRecordData();
+		data.setOrcidId(orcidId);
+		data.setModifiedDate(modifiedDate);
+		try (CloseableHttpClient client = HttpClients.createDefault()) {
+			HttpGet httpGet = new HttpGet("https://api.orcid.org/v3.0/" + orcidId + "/record");
+			httpGet.addHeader("Accept", "application/vnd.orcid+xml");
+			httpGet.addHeader("Authorization", String.format("Bearer %s", token));
+			CloseableHttpResponse response = client.execute(httpGet);
+			int statusCode = response.getStatusLine().getStatusCode();
+			data.setStatusCode(statusCode);
+			if (statusCode != 200) {
+				Log
+					.warn(
+						"Downloading " + orcidId + " status code: " + response.getStatusLine().getStatusCode());
+				return data.toTuple2();
+			}
+			downloadedRecordsAcc.add(1);
+			data
+				.setCompressedData(
+					ArgumentApplicationParser.compressArgument(IOUtils.toString(response.getEntity().getContent())));
+		} catch (Throwable e) {
+			Log.warn("Downloading " + orcidId, e.getMessage());
+			data.setErrorMessage(e.getMessage());
+			return data.toTuple2();
+		}
+		return data.toTuple2();
+	}
+}

dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/orcid/SparkPartitionLambdaFile.java

@@ -0,0 +1,50 @@
+
+package eu.dnetlib.doiboost.orcid;
+
+import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
+
+import java.io.IOException;
+import java.util.Optional;
+
+import org.apache.commons.io.IOUtils;
+import org.apache.spark.SparkConf;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import eu.dnetlib.dhp.application.ArgumentApplicationParser;
+
+public class SparkPartitionLambdaFile {
+
+	public static void main(String[] args) throws IOException, Exception {
+		Logger logger = LoggerFactory.getLogger(SparkOrcidGenerateAuthors.class);
+
+		final ArgumentApplicationParser parser = new ArgumentApplicationParser(
+			IOUtils
+				.toString(
+					SparkOrcidGenerateAuthors.class
+						.getResourceAsStream(
+							"/eu/dnetlib/dhp/doiboost/gen_orcid_authors_parameters.json")));
+		parser.parseArgument(args);
+		Boolean isSparkSessionManaged = Optional
+			.ofNullable(parser.get("isSparkSessionManaged"))
+			.map(Boolean::valueOf)
+			.orElse(Boolean.TRUE);
+		final String workingPath = parser.get("workingPath");
+
+		SparkConf conf = new SparkConf();
+		runWithSparkSession(
+			conf,
+			isSparkSessionManaged,
+			spark -> {
+				JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
+				JavaRDD<String> lamdaFileRDD = sc.textFile(workingPath + "last_modified.csv");
+
+				lamdaFileRDD
+					.repartition(20)
+					.saveAsTextFile(workingPath.concat("lamdafiles"));
+			});
+	}
+
+}

dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/orcid/SummariesDecompressor.java

@@ -0,0 +1,158 @@
+
+package eu.dnetlib.doiboost.orcid;
+
+import java.io.BufferedReader;
+import java.io.IOException;
+import java.io.InputStream;
+import java.io.InputStreamReader;
+import java.net.URI;
+
+import org.apache.commons.compress.archivers.tar.TarArchiveEntry;
+import org.apache.commons.compress.archivers.tar.TarArchiveInputStream;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.fs.FileSystem;
+import org.apache.hadoop.fs.Path;
+import org.apache.hadoop.io.IOUtils;
+import org.apache.hadoop.io.SequenceFile;
+import org.apache.hadoop.io.Text;
+import org.apache.hadoop.io.compress.CompressionCodec;
+import org.apache.hadoop.io.compress.CompressionCodecFactory;
+import org.mortbay.log.Log;
+
+import eu.dnetlib.doiboost.orcid.json.JsonWriter;
+import eu.dnetlib.doiboost.orcid.model.AuthorData;
+import eu.dnetlib.doiboost.orcid.xml.XMLRecordParser;
+
+public class SummariesDecompressor {
+
+	private static final int MAX_XML_RECORDS_PARSED = -1;
+
+	public static void parseGzSummaries(Configuration conf, String inputUri, Path outputPath)
+		throws Exception {
+		String uri = inputUri;
+		FileSystem fs = FileSystem.get(URI.create(uri), conf);
+		Path inputPath = new Path(uri);
+		CompressionCodecFactory factory = new CompressionCodecFactory(conf);
+		CompressionCodec codec = factory.getCodec(inputPath);
+		if (codec == null) {
+			System.err.println("No codec found for " + uri);
+			System.exit(1);
+		}
+		CompressionCodecFactory.removeSuffix(uri, codec.getDefaultExtension());
+		InputStream gzipInputStream = null;
+		try {
+			gzipInputStream = codec.createInputStream(fs.open(inputPath));
+			parseTarSummaries(fs, conf, gzipInputStream, outputPath);
+
+		} finally {
+			Log.debug("Closing gzip stream");
+			IOUtils.closeStream(gzipInputStream);
+		}
+	}
+
+	private static void parseTarSummaries(
+		FileSystem fs, Configuration conf, InputStream gzipInputStream, Path outputPath) {
+		int counter = 0;
+		int nameFound = 0;
+		int surnameFound = 0;
+		int creditNameFound = 0;
+		int errorFromOrcidFound = 0;
+		int xmlParserErrorFound = 0;
+		try (TarArchiveInputStream tais = new TarArchiveInputStream(gzipInputStream)) {
+			TarArchiveEntry entry = null;
+
+			try (SequenceFile.Writer writer = SequenceFile
+				.createWriter(
+					conf,
+					SequenceFile.Writer.file(outputPath),
+					SequenceFile.Writer.keyClass(Text.class),
+					SequenceFile.Writer.valueClass(Text.class))) {
+				while ((entry = tais.getNextTarEntry()) != null) {
+					String filename = entry.getName();
+					try {
+						if (entry.isDirectory()) {
+							Log.debug("Directory entry name: " + entry.getName());
+						} else {
+							Log.debug("XML record entry name: " + entry.getName());
+							counter++;
+							BufferedReader br = new BufferedReader(new InputStreamReader(tais)); // Read directly from
+																									// tarInput
+							String line;
+							StringBuffer buffer = new StringBuffer();
+							while ((line = br.readLine()) != null) {
+								buffer.append(line);
+							}
+							AuthorData authorData = XMLRecordParser.VTDParseAuthorData(buffer.toString().getBytes());
+							if (authorData != null) {
+								if (authorData.getErrorCode() != null) {
+									errorFromOrcidFound += 1;
+									Log
+										.debug(
+											"error from Orcid with code "
+												+ authorData.getErrorCode()
+												+ " for oid "
+												+ entry.getName());
+									continue;
+								}
+								String jsonData = JsonWriter.create(authorData);
+								Log.debug("oid: " + authorData.getOid() + " data: " + jsonData);
+
+								final Text key = new Text(authorData.getOid());
+								final Text value = new Text(jsonData);
+
+								try {
+									writer.append(key, value);
+								} catch (IOException e) {
+									Log.debug("Writing to sequence file: " + e.getMessage());
+									Log.debug(e);
+									throw new RuntimeException(e);
+								}
+
+								if (authorData.getName() != null) {
+									nameFound += 1;
+								}
+								if (authorData.getSurname() != null) {
+									surnameFound += 1;
+								}
+								if (authorData.getCreditName() != null) {
+									creditNameFound += 1;
+								}
+
+							} else {
+								Log.warn("Data not retrievable [" + entry.getName() + "] " + buffer.toString());
+								xmlParserErrorFound += 1;
+							}
+						}
+					} catch (Exception e) {
+						Log
+							.warn(
+								"Parsing record from tar archive and xml record: "
+									+ filename
+									+ "  "
+									+ e.getMessage());
+						Log.warn(e);
+					}
+
+					if ((counter % 100000) == 0) {
+						Log.info("Current xml records parsed: " + counter);
+					}
+
+					if ((MAX_XML_RECORDS_PARSED > -1) && (counter > MAX_XML_RECORDS_PARSED)) {
+						break;
+					}
+				}
+			}
+		} catch (IOException e) {
+			Log.warn("Parsing record from gzip archive: " + e.getMessage());
+			Log.warn(e);
+			throw new RuntimeException(e);
+		}
+		Log.info("Summaries parse completed");
+		Log.info("Total XML records parsed: " + counter);
+		Log.info("Name found: " + nameFound);
+		Log.info("Surname found: " + surnameFound);
+		Log.info("Credit name found: " + creditNameFound);
+		Log.info("Error from Orcid found: " + errorFromOrcidFound);
+		Log.info("Error parsing xml record found: " + xmlParserErrorFound);
+	}
+}

dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/orcid/json/JsonWriter.java

@@ -0,0 +1,28 @@
+
+package eu.dnetlib.doiboost.orcid.json;
+
+import com.google.gson.JsonObject;
+
+import eu.dnetlib.doiboost.orcid.model.AuthorData;
+import eu.dnetlib.doiboost.orcid.model.WorkData;
+
+public class JsonWriter {
+
+	public static String create(AuthorData authorData) {
+		JsonObject author = new JsonObject();
+		author.addProperty("oid", authorData.getOid());
+		author.addProperty("name", authorData.getName());
+		author.addProperty("surname", authorData.getSurname());
+		if (authorData.getCreditName() != null) {
+			author.addProperty("creditname", authorData.getCreditName());
+		}
+		return author.toString();
+	}
+
+	public static String create(WorkData workData) {
+		JsonObject work = new JsonObject();
+		work.addProperty("oid", workData.getOid());
+		work.addProperty("doi", workData.getDoi());
+		return work.toString();
+	}
+}

dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/orcid/model/AuthorData.java

@@ -0,0 +1,53 @@
+
+package eu.dnetlib.doiboost.orcid.model;
+
+import java.io.Serializable;
+
+public class AuthorData implements Serializable {
+
+	private String oid;
+	private String name;
+	private String surname;
+	private String creditName;
+	private String errorCode;
+
+	public String getErrorCode() {
+		return errorCode;
+	}
+
+	public void setErrorCode(String errorCode) {
+		this.errorCode = errorCode;
+	}
+
+	public String getName() {
+		return name;
+	}
+
+	public void setName(String name) {
+		this.name = name;
+	}
+
+	public String getSurname() {
+		return surname;
+	}
+
+	public void setSurname(String surname) {
+		this.surname = surname;
+	}
+
+	public String getCreditName() {
+		return creditName;
+	}
+
+	public void setCreditName(String creditName) {
+		this.creditName = creditName;
+	}
+
+	public String getOid() {
+		return oid;
+	}
+
+	public void setOid(String oid) {
+		this.oid = oid;
+	}
+}

dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/orcid/model/DownloadedRecordData.java

@@ -0,0 +1,76 @@
+
+package eu.dnetlib.doiboost.orcid.model;
+
+import java.io.Serializable;
+
+import org.apache.hadoop.io.Text;
+
+import com.google.gson.JsonObject;
+
+import scala.Tuple2;
+
+public class DownloadedRecordData implements Serializable {
+
+	private String orcidId;
+	private String modifiedDate;
+	private String statusCode;
+	private String compressedData;
+	private String errorMessage;
+
+	public Tuple2<String, String> toTuple2() {
+		JsonObject data = new JsonObject();
+		data.addProperty("statusCode", getStatusCode());
+		data.addProperty("modifiedDate", getModifiedDate());
+		if (getCompressedData() != null) {
+			data.addProperty("compressedData", getCompressedData());
+		}
+		if (getErrorMessage() != null) {
+			data.addProperty("errorMessage", getErrorMessage());
+		}
+		return new Tuple2<>(orcidId, data.toString());
+	}
+
+	public String getErrorMessage() {
+		return errorMessage;
+	}
+
+	public void setErrorMessage(String errorMessage) {
+		this.errorMessage = errorMessage;
+	}
+
+	public String getOrcidId() {
+		return orcidId;
+	}
+
+	public void setOrcidId(String orcidId) {
+		this.orcidId = orcidId;
+	}
+
+	public int getStatusCode() {
+		try {
+			return Integer.parseInt(statusCode);
+		} catch (Exception e) {
+			return -2;
+		}
+	}
+
+	public void setStatusCode(int statusCode) {
+		this.statusCode = Integer.toString(statusCode);
+	}
+
+	public String getCompressedData() {
+		return compressedData;
+	}
+
+	public void setCompressedData(String compressedData) {
+		this.compressedData = compressedData;
+	}
+
+	public String getModifiedDate() {
+		return modifiedDate;
+	}
+
+	public void setModifiedDate(String modifiedDate) {
+		this.modifiedDate = modifiedDate;
+	}
+}

dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/orcid/model/WorkData.java

@@ -0,0 +1,45 @@
+
+package eu.dnetlib.doiboost.orcid.model;
+
+import java.io.Serializable;
+
+public class WorkData implements Serializable {
+
+	private String oid;
+	private String doi;
+	private boolean doiFound = false;
+
+	public boolean isDoiFound() {
+		return doiFound;
+	}
+
+	public void setDoiFound(boolean doiFound) {
+		this.doiFound = doiFound;
+	}
+
+	public String getOid() {
+		return oid;
+	}
+
+	public void setOid(String oid) {
+		this.oid = oid;
+	}
+
+	public String getDoi() {
+		return doi;
+	}
+
+	public void setDoi(String doi) {
+		this.doi = doi;
+	}
+
+	public String getErrorCode() {
+		return errorCode;
+	}
+
+	public void setErrorCode(String errorCode) {
+		this.errorCode = errorCode;
+	}
+
+	private String errorCode;
+}

dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/orcid/xml/XMLRecordParser.java

@@ -0,0 +1,123 @@
+
+package eu.dnetlib.doiboost.orcid.xml;
+
+import java.util.Arrays;
+import java.util.List;
+
+import com.ximpleware.AutoPilot;
+import com.ximpleware.EOFException;
+import com.ximpleware.EncodingException;
+import com.ximpleware.EntityException;
+import com.ximpleware.ParseException;
+import com.ximpleware.VTDGen;
+import com.ximpleware.VTDNav;
+
+import eu.dnetlib.dhp.parser.utility.VtdException;
+import eu.dnetlib.dhp.parser.utility.VtdUtilityParser;
+import eu.dnetlib.doiboost.orcid.model.AuthorData;
+import eu.dnetlib.doiboost.orcid.model.WorkData;
+
+public class XMLRecordParser {
+
+	private static final String NS_COMMON_URL = "http://www.orcid.org/ns/common";
+	private static final String NS_COMMON = "common";
+	private static final String NS_PERSON_URL = "http://www.orcid.org/ns/person";
+	private static final String NS_PERSON = "person";
+	private static final String NS_DETAILS_URL = "http://www.orcid.org/ns/personal-details";
+	private static final String NS_DETAILS = "personal-details";
+	private static final String NS_OTHER_URL = "http://www.orcid.org/ns/other-name";
+	private static final String NS_OTHER = "other-name";
+	private static final String NS_RECORD_URL = "http://www.orcid.org/ns/record";
+	private static final String NS_RECORD = "record";
+	private static final String NS_ERROR_URL = "http://www.orcid.org/ns/error";
+
+	private static final String NS_WORK = "work";
+	private static final String NS_WORK_URL = "http://www.orcid.org/ns/work";
+
+	private static final String NS_ERROR = "error";
+
+	public static AuthorData VTDParseAuthorData(byte[] bytes)
+		throws VtdException, EncodingException, EOFException, EntityException, ParseException {
+		final VTDGen vg = new VTDGen();
+		vg.setDoc(bytes);
+		vg.parse(true);
+		final VTDNav vn = vg.getNav();
+		final AutoPilot ap = new AutoPilot(vn);
+		ap.declareXPathNameSpace(NS_COMMON, NS_COMMON_URL);
+		ap.declareXPathNameSpace(NS_PERSON, NS_PERSON_URL);
+		ap.declareXPathNameSpace(NS_DETAILS, NS_DETAILS_URL);
+		ap.declareXPathNameSpace(NS_OTHER, NS_OTHER_URL);
+		ap.declareXPathNameSpace(NS_RECORD, NS_RECORD_URL);
+		ap.declareXPathNameSpace(NS_ERROR, NS_ERROR_URL);
+
+		AuthorData authorData = new AuthorData();
+		final List<String> errors = VtdUtilityParser.getTextValue(ap, vn, "//error:response-code");
+		if (!errors.isEmpty()) {
+			authorData.setErrorCode(errors.get(0));
+			return authorData;
+		}
+
+		List<VtdUtilityParser.Node> recordNodes = VtdUtilityParser
+			.getTextValuesWithAttributes(
+				ap, vn, "//record:record", Arrays.asList("path"));
+		if (!recordNodes.isEmpty()) {
+			final String oid = (recordNodes.get(0).getAttributes().get("path")).substring(1);
+			authorData.setOid(oid);
+		} else {
+			return null;
+		}
+
+		final List<String> names = VtdUtilityParser.getTextValue(ap, vn, "//personal-details:given-names");
+		if (!names.isEmpty()) {
+			authorData.setName(names.get(0));
+		}
+
+		final List<String> surnames = VtdUtilityParser.getTextValue(ap, vn, "//personal-details:family-name");
+		if (!surnames.isEmpty()) {
+			authorData.setSurname(surnames.get(0));
+		}
+
+		final List<String> creditNames = VtdUtilityParser.getTextValue(ap, vn, "//personal-details:credit-name");
+		if (!creditNames.isEmpty()) {
+			authorData.setCreditName(creditNames.get(0));
+		}
+		return authorData;
+	}
+
+	public static WorkData VTDParseWorkData(byte[] bytes)
+		throws VtdException, EncodingException, EOFException, EntityException, ParseException {
+		final VTDGen vg = new VTDGen();
+		vg.setDoc(bytes);
+		vg.parse(true);
+		final VTDNav vn = vg.getNav();
+		final AutoPilot ap = new AutoPilot(vn);
+		ap.declareXPathNameSpace(NS_COMMON, NS_COMMON_URL);
+		ap.declareXPathNameSpace(NS_WORK, NS_WORK_URL);
+		ap.declareXPathNameSpace(NS_ERROR, NS_ERROR_URL);
+
+		WorkData workData = new WorkData();
+		final List<String> errors = VtdUtilityParser.getTextValue(ap, vn, "//error:response-code");
+		if (!errors.isEmpty()) {
+			workData.setErrorCode(errors.get(0));
+			return workData;
+		}
+
+		List<VtdUtilityParser.Node> workNodes = VtdUtilityParser
+			.getTextValuesWithAttributes(ap, vn, "//work:work", Arrays.asList("path"));
+		if (!workNodes.isEmpty()) {
+			final String oid = (workNodes.get(0).getAttributes().get("path")).split("/")[1];
+			workData.setOid(oid);
+		} else {
+			return null;
+		}
+
+		final List<String> dois = VtdUtilityParser
+			.getTextValue(
+				ap, vn, "//common:external-id-type[text()=\"doi\"]/../common:external-id-value");
+		if (!dois.isEmpty()) {
+			workData.setDoi(dois.get(0));
+			workData.setDoiFound(true);
+		}
+		return workData;
+	}
+}

dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/uw/SparkMapUnpayWallToOAF.scala

@@ -0,0 +1,43 @@
+package eu.dnetlib.doiboost.uw
+
+import eu.dnetlib.dhp.application.ArgumentApplicationParser
+
+import eu.dnetlib.dhp.schema.oaf.Publication
+import eu.dnetlib.doiboost.crossref.SparkMapDumpIntoOAF
+import org.apache.commons.io.IOUtils
+import org.apache.spark.SparkConf
+import org.apache.spark.rdd.RDD
+import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
+import org.slf4j.{Logger, LoggerFactory}
+
+
+object SparkMapUnpayWallToOAF {
+
+  def main(args: Array[String]): Unit = {
+
+
+    val logger: Logger = LoggerFactory.getLogger(SparkMapDumpIntoOAF.getClass)
+    val conf: SparkConf = new SparkConf()
+    val parser = new ArgumentApplicationParser(IOUtils.toString(SparkMapDumpIntoOAF.getClass.getResourceAsStream("/eu/dnetlib/dhp/doiboost/convert_map_to_oaf_params.json")))
+    parser.parseArgument(args)
+    val spark: SparkSession =
+      SparkSession
+        .builder()
+        .config(conf)
+        .appName(getClass.getSimpleName)
+        .master(parser.get("master")).getOrCreate()
+
+    implicit val mapEncoderPubs: Encoder[Publication] = Encoders.kryo[Publication]
+
+
+    val sourcePath = parser.get("sourcePath")
+    val targetPath = parser.get("targetPath")
+    val inputRDD:RDD[String] = spark.sparkContext.textFile(s"$sourcePath")
+
+    logger.info("Converting UnpayWall to OAF")
+
+    val d:Dataset[Publication] = spark.createDataset(inputRDD.map(UnpayWallToOAF.convertToOAF).filter(p=>p!=null)).as[Publication]
+    d.write.mode(SaveMode.Overwrite).save(targetPath)
+  }
+
+}

dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/uw/UnpayWallToOAF.scala

@@ -0,0 +1,63 @@
+package eu.dnetlib.doiboost.uw
+
+import eu.dnetlib.dhp.schema.oaf.{Instance, Publication}
+import org.json4s
+import org.json4s.DefaultFormats
+import org.json4s.jackson.JsonMethods.parse
+import org.slf4j.{Logger, LoggerFactory}
+
+import scala.collection.JavaConverters._
+import eu.dnetlib.doiboost.DoiBoostMappingUtil._
+
+
+
+case class OALocation(evidence:Option[String], host_type:Option[String], is_best:Option[Boolean], license: Option[String], pmh_id:Option[String], updated:Option[String],
+                      url:Option[String], url_for_landing_page:Option[String], url_for_pdf:Option[String], version:Option[String]) {}
+
+
+
+
+object UnpayWallToOAF {
+  val logger: Logger = LoggerFactory.getLogger(getClass)
+
+  def convertToOAF(input:String):Publication = {
+    val pub = new Publication
+
+    implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
+    lazy val json: json4s.JValue = parse(input)
+
+    val doi = (json \"doi").extract[String]
+
+
+    val is_oa = (json\ "is_oa").extract[Boolean]
+
+    val oaLocation:OALocation = (json \ "best_oa_location").extractOrElse[OALocation](null)
+    pub.setPid(List(createSP(doi, "doi", PID_TYPES)).asJava)
+    pub.setId(generateIdentifier(pub, doi.toLowerCase))
+
+    pub.setCollectedfrom(List(createUnpayWallCollectedFrom()).asJava)
+    pub.setDataInfo(generateDataInfo())
+
+    if (!is_oa)
+      return null
+
+    if(oaLocation== null || oaLocation.url.isEmpty)
+      return  null
+    val i :Instance= new Instance()
+
+    i.setCollectedfrom(createUnpayWallCollectedFrom())
+    i.setAccessright(getOpenAccessQualifier())
+    i.setUrl(List(oaLocation.url.get).asJava)
+
+    if (oaLocation.license.isDefined)
+      i.setLicense(asField(oaLocation.license.get))
+    pub.setInstance(List(i).asJava)
+
+    pub
+
+  }
+
+
+
+
+}

dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/convert_map_to_oaf_params.json

@@ -0,0 +1,6 @@
+[
+  {"paramName":"s",   "paramLongName":"sourcePath", "paramDescription": "the path of the sequencial file to read",  "paramRequired": true},
+  {"paramName":"t",   "paramLongName":"targetPath", "paramDescription": "the working dir path",                      "paramRequired": true},
+  {"paramName":"m",   "paramLongName":"master",     "paramDescription": "the master name",                          "paramRequired": true}
+
+]

dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/create_orcid_authors_data.json

@@ -0,0 +1,6 @@
+[
+  {"paramName":"n",   "paramLongName":"hdfsServerUri",	"paramDescription": "the server uri",   "paramRequired": true},
+  {"paramName":"d",   "paramLongName":"hdfsOrcidDefaultPath",	"paramDescription": "the default work path",	"paramRequired": true},
+  {"paramName":"f",   "paramLongName":"summariesFileNameTarGz",	"paramDescription": "the name of the summaries orcid file",	"paramRequired": true},
+  {"paramName":"o",   "paramLongName":"outputAuthorsPath",	"paramDescription": "the relative folder of the sequencial file to write",	"paramRequired": true}
+]

dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/create_orcid_authors_dois_data.json

@@ -0,0 +1,6 @@
+[
+  {"paramName":"n",   "paramLongName":"hdfsServerUri",	"paramDescription": "the server uri",   "paramRequired": true},
+  {"paramName":"d",   "paramLongName":"hdfsOrcidDefaultPath",	"paramDescription": "the default work path",	"paramRequired": true},
+  {"paramName":"f",   "paramLongName":"activitiesFileNameTarGz",	"paramDescription": "the name of the activities orcid file",	"paramRequired": true},
+  {"paramName":"o",   "paramLongName":"outputAuthorsDOIsPath",	"paramDescription": "the relative folder of the sequencial file to write",	"paramRequired": true}
+]

dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/crossref/oozie_app/config-default.xml

@@ -0,0 +1,42 @@
+<configuration>
+    <property>
+        <name>jobTracker</name>
+        <value>yarnRM</value>
+    </property>
+    <property>
+        <name>nameNode</name>
+        <value>hdfs://nameservice1</value>
+    </property>
+    <property>
+        <name>oozie.use.system.libpath</name>
+        <value>true</value>
+    </property>
+    <property>
+        <name>oozie.action.sharelib.for.spark</name>
+        <value>spark2</value>
+    </property>
+    <property>
+        <name>oozie.launcher.mapreduce.user.classpath.first</name>
+        <value>true</value>
+    </property>
+    <property>
+        <name>hive_metastore_uris</name>
+        <value>thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083</value>
+    </property>
+    <property>
+        <name>spark2YarnHistoryServerAddress</name>
+        <value>http://iis-cdh5-test-gw.ocean.icm.edu.pl:18089</value>
+    </property>
+    <property>
+        <name>spark2EventLogDir</name>
+        <value>/user/spark/spark2ApplicationHistory</value>
+    </property>
+    <property>
+        <name>spark2ExtraListeners</name>
+        <value>"com.cloudera.spark.lineage.NavigatorAppListener"</value>
+    </property>
+    <property>
+        <name>spark2SqlQueryExecutionListeners</name>
+        <value>"com.cloudera.spark.lineage.NavigatorQueryListener"</value>
+    </property>
+</configuration>

dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/crossref/oozie_app/workflow.xml

@@ -0,0 +1,80 @@
+<workflow-app name="import Crossref from index into HDFS" xmlns="uri:oozie:workflow:0.5">
+    <parameters>
+        <property>
+            <name>workingPath</name>
+            <description>the working dir base path</description>
+        </property>
+        <property>
+            <name>sparkDriverMemory</name>
+            <description>memory for driver process</description>
+        </property>
+        <property>
+            <name>sparkExecutorMemory</name>
+            <description>memory for individual executor</description>
+        </property>
+        <property>
+            <name>sparkExecutorCores</name>
+            <description>number of cores used by single executor</description>
+        </property>
+        <property>
+            <name>timestamp</name>
+            <description>Timestamp for incremental Harvesting</description>
+        </property>
+
+    </parameters>
+
+    <start to="ExtractCrossrefToOAF"/>
+
+
+    <kill name="Kill">
+        <message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
+    </kill>
+
+    <action name="ResetWorkingPath">
+        <fs>
+            <delete path='${workingPath}/input/crossref/index_dump'/>
+<!--            <mkdir path='${workingPath}/input/crossref'/>-->
+        </fs>
+        <ok to="ImportCrossRef"/>
+        <error to="Kill"/>
+    </action>
+
+
+
+    <action name="ImportCrossRef">
+        <java>
+            <job-tracker>${jobTracker}</job-tracker>
+            <name-node>${nameNode}</name-node>
+            <main-class>eu.dnetlib.doiboost.crossref.CrossrefImporter</main-class>
+            <arg>-t</arg><arg>${workingPath}/input/crossref/index_dump</arg>
+            <arg>-n</arg><arg>${nameNode}</arg>
+            <arg>-ts</arg><arg>${timestamp}</arg>
+        </java>
+        <ok to="ExtractCrossrefToOAF"/>
+        <error to="Kill"/>
+    </action>
+
+
+    <action name="ExtractCrossrefToOAF">
+        <spark xmlns="uri:oozie:spark-action:0.2">
+            <master>yarn-cluster</master>
+            <mode>cluster</mode>
+            <name>ExtractCrossrefToOAF</name>
+            <class>eu.dnetlib.doiboost.crossref.SparkMapDumpIntoOAF</class>
+            <jar>dhp-doiboost-${projectVersion}.jar</jar>
+            <spark-opts>
+                --executor-memory=${sparkExecutorMemory}
+                --executor-cores=${sparkExecutorCores}
+                --driver-memory=${sparkDriverMemory}
+                ${sparkExtraOPT}
+            </spark-opts>
+            <arg>--sourcePath</arg><arg>${workingPath}/input/crossref/index_dump,${workingPath}/crossref/index_dump</arg>
+            <arg>--targetPath</arg><arg>${workingPath}/input/crossref</arg>
+            <arg>--master</arg><arg>yarn-cluster</arg>
+        </spark>
+        <ok to="End"/>
+        <error to="Kill"/>
+    </action>
+
+    <end name="End"/>
+</workflow-app>

dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/download_orcid_data.json

@@ -0,0 +1,7 @@
+[
+  {"paramName":"n",   "paramLongName":"hdfsServerUri",	"paramDescription": "the server uri",   "paramRequired": true},
+  {"paramName":"d",   "paramLongName":"hdfsOrcidDefaultPath",	"paramDescription": "the default work path",	"paramRequired": true},
+  {"paramName":"f",   "paramLongName":"lambdaFileName",	"paramDescription": "the name of the lambda file",	"paramRequired": true},
+  {"paramName":"o",   "paramLongName":"outputPath",	"paramDescription": "the relative folder of the sequencial file to write",	"paramRequired": true},
+  {"paramName":"t",   "paramLongName":"token",	"paramDescription": "token to grant access",	"paramRequired": true}
+]

dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/gen_doi_author_list_orcid_parameters.json

@@ -0,0 +1,3 @@
+[{"paramName":"w",   "paramLongName":"workingPath",	"paramDescription": "the working path",	"paramRequired": true},
+ {"paramName":"o",   "paramLongName":"outputDoiAuthorListPath",	"paramDescription": "the relative folder of the sequencial file to write the data",	"paramRequired": true}
+]

dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/gen_orcid_authors_parameters.json

@@ -0,0 +1,4 @@
+[{"paramName":"w",   "paramLongName":"workingPath",	"paramDescription": "the working path",	"paramRequired": true},
+ {"paramName":"t",   "paramLongName":"token",	"paramDescription": "token to grant access",	"paramRequired": true},
+ {"paramName":"o",   "paramLongName":"outputAuthorsPath",	"paramDescription": "the relative folder of the sequencial file to write the authors data",	"paramRequired": true}
+]

dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/generate_doiboost_as_params.json

@@ -0,0 +1,9 @@
+[
+  {"paramName": "m",    "paramLongName":"master",                           "paramDescription": "the master name",                 "paramRequired": true},
+  {"paramName": "dp",   "paramLongName":"dbPublicationPath",                "paramDescription": "the Crossref Publication Path",   "paramRequired": true},
+  {"paramName": "dd",   "paramLongName":"dbDatasetPath",                    "paramDescription": "the Crossref Dataset Path",       "paramRequired": true},
+  {"paramName": "cr",   "paramLongName":"crossRefRelation",                 "paramDescription": "the UnpayWall Publication Path",  "paramRequired": true},
+  {"paramName": "da",   "paramLongName":"dbaffiliationRelationPath",        "paramDescription": "the MAG Publication Path",        "paramRequired": true},
+  {"paramName": "do",   "paramLongName":"dbOrganizationPath",               "paramDescription": "the MAG Publication Path",        "paramRequired": true},
+  {"paramName": "w",    "paramLongName":"targetPath",                       "paramDescription": "the Working Path",                "paramRequired": true}
+]

dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/generate_doiboost_params.json

@@ -0,0 +1,7 @@
+[
+  {"paramName": "m",    "paramLongName":"master",                    "paramDescription": "the master name",                 "paramRequired": true},
+  {"paramName": "hb",   "paramLongName":"hostedByMapPath",            "paramDescription": "the hosted By Map Path",         "paramRequired": true},
+  {"paramName": "ap",   "paramLongName":"affiliationPath",            "paramDescription": "the Affliation Path",            "paramRequired": true},
+  {"paramName": "pa",   "paramLongName":"paperAffiliationPath",      "paramDescription": "the paperAffiliation Path",       "paramRequired": true},
+  {"paramName": "w",    "paramLongName":"workingDirPath",            "paramDescription": "the Working Path",                "paramRequired": true}
+]

dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/import_from_es.json

@@ -0,0 +1,5 @@
+[
+  {"paramName":"t",   "paramLongName":"targetPath",         "paramDescription": "the path of the sequencial file to write",   "paramRequired": true},
+  {"paramName":"n",   "paramLongName":"namenode",           "paramDescription": "the hive metastore uris",                    "paramRequired": true},
+  {"paramName":"ts",   "paramLongName":"timestamp",         "paramDescription": "timestamp",                                  "paramRequired": false}
+]

dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/intersection/oozie_app/config-default.xml

@@ -0,0 +1,38 @@
+<configuration>
+    <property>
+        <name>jobTracker</name>
+        <value>yarnRM</value>
+    </property>
+    <property>
+        <name>nameNode</name>
+        <value>hdfs://nameservice1</value>
+    </property>
+    <property>
+        <name>oozie.use.system.libpath</name>
+        <value>true</value>
+    </property>
+    <property>
+        <name>oozie.action.sharelib.for.spark</name>
+        <value>spark2</value>
+    </property>
+    <property>
+        <name>hive_metastore_uris</name>
+        <value>thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083</value>
+    </property>
+    <property>
+        <name>spark2YarnHistoryServerAddress</name>
+        <value>http://iis-cdh5-test-gw.ocean.icm.edu.pl:18089</value>
+    </property>
+    <property>
+        <name>spark2EventLogDir</name>
+        <value>/user/spark/spark2ApplicationHistory</value>
+    </property>
+    <property>
+        <name>spark2ExtraListeners</name>
+        <value>"com.cloudera.spark.lineage.NavigatorAppListener"</value>
+    </property>
+    <property>
+        <name>spark2SqlQueryExecutionListeners</name>
+        <value>"com.cloudera.spark.lineage.NavigatorQueryListener"</value>
+    </property>
+</configuration>

dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/intersection/oozie_app/workflow.xml

@@ -0,0 +1,103 @@
+<workflow-app name="Create DOIBoostActionSet" xmlns="uri:oozie:workflow:0.5">
+    <parameters>
+        <property>
+            <name>hostedByMapPath</name>
+            <description>the Hosted By Map Path</description>
+        </property>
+        <property>
+            <name>affiliationPath</name>
+            <description>the Affliation Path</description>
+        </property>
+        <property>
+            <name>paperAffiliationPath</name>
+            <description>the paperAffiliation Path</description>
+        </property>
+        <property>
+            <name>workingDirPath</name>
+            <description>the Working Path</description>
+        </property>
+        <property>
+            <name>sparkDriverMemory</name>
+            <description>memory for driver process</description>
+        </property>
+        <property>
+            <name>sparkExecutorMemory</name>
+            <description>memory for individual executor</description>
+        </property>
+        <property>
+            <name>sparkExecutorCores</name>
+            <description>number of cores used by single executor</description>
+        </property>
+    </parameters>
+
+
+
+    <start to="GenerateActionSet"/>
+
+
+    <kill name="Kill">
+        <message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
+    </kill>
+
+    <action name="ResetWorkingPath">
+        <fs>
+            <delete path='${workingDirPath}'/>
+            <mkdir path='${workingDirPath}'/>
+        </fs>
+        <ok to="CreateDOIBoost"/>
+        <error to="Kill"/>
+    </action>
+
+    <action name="CreateDOIBoost">
+        <spark xmlns="uri:oozie:spark-action:0.2">
+            <master>yarn-cluster</master>
+            <mode>cluster</mode>
+            <name>Create DOIBoost Infospace</name>
+            <class>eu.dnetlib.doiboost.SparkGenerateDoiBoost</class>
+            <jar>dhp-doiboost-${projectVersion}.jar</jar>
+            <spark-opts>
+                --executor-memory=${sparkExecutorMemory}
+                --executor-cores=${sparkExecutorCores}
+                --driver-memory=${sparkDriverMemory}
+                --conf spark.sql.shuffle.partitions=3840
+                ${sparkExtraOPT}
+            </spark-opts>
+            <arg>--hostedByMapPath</arg><arg>${hostedByMapPath}</arg>
+            <arg>--affiliationPath</arg><arg>${affiliationPath}</arg>
+            <arg>--paperAffiliationPath</arg><arg>${paperAffiliationPath}</arg>
+            <arg>--workingDirPath</arg><arg>${workingDirPath}</arg>
+            <arg>--master</arg><arg>yarn-cluster</arg>
+        </spark>
+        <ok to="GenerateActionSet"/>
+        <error to="Kill"/>
+    </action>
+
+
+    <action name="GenerateActionSet">
+        <spark xmlns="uri:oozie:spark-action:0.2">
+            <master>yarn-cluster</master>
+            <mode>cluster</mode>
+            <name>Generate DOIBoost ActionSet</name>
+            <class>eu.dnetlib.doiboost.SparkGenerateDOIBoostActionSet</class>
+            <jar>dhp-doiboost-${projectVersion}.jar</jar>
+            <spark-opts>
+                --executor-memory=${sparkExecutorMemory}
+                --executor-cores=${sparkExecutorCores}
+                --driver-memory=${sparkDriverMemory}
+                --conf spark.sql.shuffle.partitions=3840
+                ${sparkExtraOPT}
+            </spark-opts>
+            <arg>--dbPublicationPath</arg><arg>${workingDirPath}/doiBoostPublicationFiltered</arg>
+            <arg>--dbDatasetPath</arg><arg>${workingDirPath}/crossrefDataset</arg>
+            <arg>--crossRefRelation</arg><arg>/data/doiboost/input/crossref/relations</arg>
+            <arg>--dbaffiliationRelationPath</arg><arg>${workingDirPath}/doiBoostPublicationAffiliation</arg>
+            <arg>-do</arg><arg>${workingDirPath}/doiBoostOrganization</arg>
+            <arg>--targetPath</arg><arg>${workingDirPath}/actionDataSet</arg>
+            <arg>--master</arg><arg>yarn-cluster</arg>
+        </spark>
+        <ok to="End"/>
+        <error to="Kill"/>
+    </action>
+
+    <end name="End"/>
+</workflow-app>

dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/mag/convert_mag_to_oaf_params.json

@@ -0,0 +1,6 @@
+[
+  {"paramName":"s",   "paramLongName":"sourcePath", "paramDescription": "the base path of MAG input",  "paramRequired": true},
+  {"paramName":"t",   "paramLongName":"targetPath", "paramDescription": "the working dir path",                      "paramRequired": true},
+  {"paramName":"m",   "paramLongName":"master",     "paramDescription": "the master name",                          "paramRequired": true}
+
+]

dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/mag/oozie_app/config-default.xml

@@ -0,0 +1,42 @@
+<configuration>
+    <property>
+        <name>jobTracker</name>
+        <value>yarnRM</value>
+    </property>
+    <property>
+        <name>nameNode</name>
+        <value>hdfs://nameservice1</value>
+    </property>
+    <property>
+        <name>oozie.use.system.libpath</name>
+        <value>true</value>
+    </property>
+    <property>
+        <name>oozie.action.sharelib.for.spark</name>
+        <value>spark2</value>
+    </property>
+    <property>
+        <name>oozie.wf.rerun.failnodes</name>
+        <value>false</value>
+    </property>
+    <property>
+        <name>hive_metastore_uris</name>
+        <value>thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083</value>
+    </property>
+    <property>
+        <name>spark2YarnHistoryServerAddress</name>
+        <value>http://iis-cdh5-test-gw.ocean.icm.edu.pl:18089</value>
+    </property>
+    <property>
+        <name>spark2EventLogDir</name>
+        <value>/user/spark/spark2ApplicationHistory</value>
+    </property>
+    <property>
+        <name>spark2ExtraListeners</name>
+        <value>"com.cloudera.spark.lineage.NavigatorAppListener"</value>
+    </property>
+    <property>
+        <name>spark2SqlQueryExecutionListeners</name>
+        <value>"com.cloudera.spark.lineage.NavigatorQueryListener"</value>
+    </property>
+</configuration>

dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/mag/oozie_app/workflow.xml

@@ -0,0 +1,87 @@
+<workflow-app name="import MAG into HDFS" xmlns="uri:oozie:workflow:0.5">
+    <parameters>
+        <property>
+            <name>sourcePath</name>
+            <description>the working dir base path</description>
+        </property>
+        <property>
+            <name>targetPath</name>
+            <description>the working dir base path</description>
+        </property>
+        <property>
+            <name>sparkDriverMemory</name>
+            <description>memory for driver process</description>
+        </property>
+        <property>
+            <name>sparkExecutorMemory</name>
+            <description>memory for individual executor</description>
+        </property>
+        <property>
+            <name>sparkExecutorCores</name>
+            <description>number of cores used by single executor</description>
+        </property>
+    </parameters>
+
+    <start to="ResetWorkingPath"/>
+
+
+    <kill name="Kill">
+        <message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
+    </kill>
+
+    <action name="ResetWorkingPath">
+        <fs>
+            <delete path='${targetPath}'/>
+            <mkdir path='${targetPath}'/>
+        </fs>
+        <ok to="PreprocessMag"/>
+        <error to="Kill"/>
+    </action>
+
+    <action name="ConvertMagToDataset">
+        <spark xmlns="uri:oozie:spark-action:0.2">
+            <master>yarn-cluster</master>
+            <mode>cluster</mode>
+            <name>Convert Mag to Dataset</name>
+            <class>eu.dnetlib.doiboost.mag.SparkImportMagIntoDataset</class>
+            <jar>dhp-doiboost-${projectVersion}.jar</jar>
+            <spark-opts>
+                --executor-memory=${sparkExecutorMemory}
+                --executor-cores=${sparkExecutorCores}
+                --driver-memory=${sparkDriverMemory}
+                ${sparkExtraOPT}
+            </spark-opts>
+            <arg>--sourcePath</arg><arg>${sourcePath}</arg>
+            <arg>--targetPath</arg><arg>${targetPath}</arg>
+            <arg>--master</arg><arg>yarn-cluster</arg>
+        </spark>
+        <ok to="End"/>
+        <error to="Kill"/>
+    </action>
+
+
+
+    <action name="PreprocessMag">
+        <spark xmlns="uri:oozie:spark-action:0.2">
+            <master>yarn-cluster</master>
+            <mode>cluster</mode>
+            <name>Convert Mag to Dataset</name>
+            <class>eu.dnetlib.doiboost.mag.SparkPreProcessMAG</class>
+            <jar>dhp-doiboost-${projectVersion}.jar</jar>
+            <spark-opts>
+                --executor-memory=${sparkExecutorMemory}
+                --executor-cores=${sparkExecutorCores}
+                --driver-memory=${sparkDriverMemory}
+                --conf spark.sql.shuffle.partitions=3840
+                ${sparkExtraOPT}
+            </spark-opts>
+            <arg>--sourcePath</arg><arg>${sourcePath}</arg>
+            <arg>--targetPath</arg><arg>${targetPath}</arg>
+            <arg>--master</arg><arg>yarn-cluster</arg>
+        </spark>
+        <ok to="End"/>
+        <error to="Kill"/>
+    </action>
+
+    <end name="End"/>
+</workflow-app>

dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/mag/preprocess_mag_params.json

@@ -0,0 +1,6 @@
+[
+  {"paramName":"s",   "paramLongName":"sourcePath", "paramDescription": "the base path of MAG input",  "paramRequired": true},
+  {"paramName":"t",   "paramLongName":"targetPath", "paramDescription": "the working dir path",                      "paramRequired": true},
+  {"paramName":"m",   "paramLongName":"master",     "paramDescription": "the master name",                          "paramRequired": true}
+
+]

dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/orcid/oozie_app/config-default.xml

@@ -0,0 +1,22 @@
+<configuration>
+    <property>
+        <name>jobTracker</name>
+        <value>yarnRM</value>
+    </property>
+    <property>
+        <name>nameNode</name>
+        <value>hdfs://nameservice1</value>
+    </property>
+    <property>
+        <name>oozie.action.sharelib.for.java</name>
+        <value>spark2</value>
+    </property>
+    <property>
+        <name>oozie.launcher.mapreduce.user.classpath.first</name>
+        <value>true</value>
+    </property>
+    <property>
+      <name>oozie.launcher.mapreduce.map.java.opts</name>
+      <value>-Xmx4g</value>
+    </property>
+</configuration>

dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/orcid/oozie_app/workflow.xml

@@ -0,0 +1,41 @@
+<workflow-app name="import Orcid" xmlns="uri:oozie:workflow:0.5">
+    <parameters>
+        <property>
+            <name>workingPath</name>
+            <description>the working dir base path</description>
+        </property>
+    </parameters>
+    
+    <start to="ResetWorkingPath"/>
+    
+    
+    <kill name="Kill">
+        <message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
+    </kill>
+    
+    <action name="ResetWorkingPath">
+        <fs>
+            <delete path='${workingPath}/output'/>
+            <mkdir path='${workingPath}/output'/>
+        </fs>
+        <ok to="ImportOrcidSummary"/>
+        <error to="Kill"/>
+    </action>
+    
+    
+    
+    <action name="ImportOrcidSummary">
+        <java>
+            <job-tracker>${jobTracker}</job-tracker>
+            <name-node>${nameNode}</name-node>
+            <main-class>eu.dnetlib.doiboost.orcid.OrcidDSManager</main-class>
+            <arg>-d</arg><arg>${workingPath}/</arg>
+            <arg>-n</arg><arg>${nameNode}</arg>
+            <arg>-f</arg><arg>ORCID_2019_summaries.tar.gz</arg>
+            <arg>-o</arg><arg>output/</arg>
+        </java>
+        <ok to="End"/>
+        <error to="Kill"/>
+    </action>
+    <end name="End"/>
+</workflow-app>

dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/orcid_authors_dois_data/oozie_app/config-default.xml

@@ -0,0 +1,22 @@
+<configuration>
+    <property>
+        <name>jobTracker</name>
+        <value>yarnRM</value>
+    </property>
+    <property>
+        <name>nameNode</name>
+        <value>hdfs://nameservice1</value>
+    </property>
+    <property>
+        <name>oozie.action.sharelib.for.java</name>
+        <value>spark2</value>
+    </property>
+    <property>
+        <name>oozie.launcher.mapreduce.user.classpath.first</name>
+        <value>true</value>
+    </property>
+    <property>
+      <name>oozie.launcher.mapreduce.map.java.opts</name>
+      <value>-Xmx4g</value>
+    </property>
+</configuration>

dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/orcid_authors_dois_data/oozie_app/workflow.xml

@@ -0,0 +1,505 @@
+<workflow-app name="Gen Orcid Authors DOIs" xmlns="uri:oozie:workflow:0.5">
+    <parameters>
+        <property>
+            <name>workingPath_activities</name>
+            <description>the working dir base path</description>
+        </property>
+        <property>
+            <name>shell_cmd_0</name>
+            <value>wget -O /tmp/ORCID_2019_activites_0.tar.gz https://orcid.figshare.com/ndownloader/files/18017660 ; hdfs dfs -copyFromLocal /tmp/ORCID_2019_activites_0.tar.gz /data/orcid_activities/ORCID_2019_activites_0.tar.gz
+            </value>
+            <description>the shell command that downloads and puts to hdfs orcid activity file 0</description>
+        </property>
+        <property>
+            <name>shell_cmd_1</name>
+            <value>wget -O /tmp/ORCID_2019_activites_1.tar.gz https://orcid.figshare.com/ndownloader/files/18017675 ; hdfs dfs -copyFromLocal /tmp/ORCID_2019_activites_1.tar.gz /data/orcid_activities/ORCID_2019_activites_1.tar.gz
+            </value>
+            <description>the shell command that downloads and puts to hdfs orcid activity file 1</description>
+        </property>
+        <property>
+            <name>shell_cmd_2</name>
+            <value>wget -O /tmp/ORCID_2019_activites_2.tar.gz https://orcid.figshare.com/ndownloader/files/18017717 ; hdfs dfs -copyFromLocal /tmp/ORCID_2019_activites_2.tar.gz /data/orcid_activities/ORCID_2019_activites_2.tar.gz
+            </value>
+            <description>the shell command that downloads and puts to hdfs orcid activity file 2</description>
+        </property>
+        <property>
+            <name>shell_cmd_3</name>
+            <value>wget -O /tmp/ORCID_2019_activites_3.tar.gz https://orcid.figshare.com/ndownloader/files/18017765 ; hdfs dfs -copyFromLocal /tmp/ORCID_2019_activites_3.tar.gz /data/orcid_activities/ORCID_2019_activites_3.tar.gz
+            </value>
+            <description>the shell command that downloads and puts to hdfs orcid activity file 3</description>
+        </property> 
+        <property>
+            <name>shell_cmd_4</name>
+            <value>wget -O /tmp/ORCID_2019_activites_4.tar.gz https://orcid.figshare.com/ndownloader/files/18017831 ; hdfs dfs -copyFromLocal /tmp/ORCID_2019_activites_4.tar.gz /data/orcid_activities/ORCID_2019_activites_4.tar.gz
+            </value>
+            <description>the shell command that downloads and puts to hdfs orcid activity file 4</description>
+        </property> 
+        <property>
+            <name>shell_cmd_5</name>
+            <value>wget -O /tmp/ORCID_2019_activites_5.tar.gz https://orcid.figshare.com/ndownloader/files/18017987 ; hdfs dfs -copyFromLocal /tmp/ORCID_2019_activites_5.tar.gz /data/orcid_activities/ORCID_2019_activites_5.tar.gz
+            </value>
+            <description>the shell command that downloads and puts to hdfs orcid activity file 5</description>
+        </property>  
+        <property>
+            <name>shell_cmd_6</name>
+            <value>wget -O /tmp/ORCID_2019_activites_6.tar.gz https://orcid.figshare.com/ndownloader/files/18018053 ; hdfs dfs -copyFromLocal /tmp/ORCID_2019_activites_6.tar.gz /data/orcid_activities/ORCID_2019_activites_6.tar.gz
+            </value>
+            <description>the shell command that downloads and puts to hdfs orcid activity file 6</description>
+        </property>
+        <property>
+            <name>shell_cmd_7</name>
+            <value>wget -O /tmp/ORCID_2019_activites_7.tar.gz https://orcid.figshare.com/ndownloader/files/18018023 ; hdfs dfs -copyFromLocal /tmp/ORCID_2019_activites_7.tar.gz /data/orcid_activities/ORCID_2019_activites_7.tar.gz
+            </value>
+            <description>the shell command that downloads and puts to hdfs orcid activity file 7</description>
+        </property>
+        <property>
+            <name>shell_cmd_8</name>
+            <value>wget -O /tmp/ORCID_2019_activites_8.tar.gz https://orcid.figshare.com/ndownloader/files/18018248 ; hdfs dfs -copyFromLocal /tmp/ORCID_2019_activites_8.tar.gz /data/orcid_activities/ORCID_2019_activites_8.tar.gz
+            </value>
+            <description>the shell command that downloads and puts to hdfs orcid activity file 8</description>
+        </property>
+        <property>
+            <name>shell_cmd_9</name>
+            <value>wget -O /tmp/ORCID_2019_activites_9.tar.gz https://orcid.figshare.com/ndownloader/files/18018029 ; hdfs dfs -copyFromLocal /tmp/ORCID_2019_activites_9.tar.gz /data/orcid_activities/ORCID_2019_activites_9.tar.gz
+            </value>
+            <description>the shell command that downloads and puts to hdfs orcid activity file 9</description>
+        </property> 
+        <property>
+            <name>shell_cmd_X</name>
+            <value>wget -O /tmp/ORCID_2019_activites_X.tar.gz https://orcid.figshare.com/ndownloader/files/18018182 ; hdfs dfs -copyFromLocal /tmp/ORCID_2019_activites_X.tar.gz /data/orcid_activities/ORCID_2019_activites_X.tar.gz
+            </value>
+            <description>the shell command that downloads and puts to hdfs orcid activity file X</description>
+        </property>  
+    </parameters>
+    
+    <start to="ResetWorkingPath"/>
+    
+    
+    <kill name="Kill">
+        <message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
+    </kill>
+    
+    <action name="ResetWorkingPath">
+        <fs>
+            <delete path='${workingPath_activities}/output'/>
+            <mkdir path='${workingPath_activities}/output'/>
+        </fs>
+        <ok to="fork_gen_orcid_authors_dois"/>
+        <error to="Kill"/>
+    </action>
+    
+    <fork name = "fork_gen_orcid_authors_dois">
+      <path start = "check_exist_on_hdfs_activities_0"/>
+      <path start = "check_exist_on_hdfs_activities_1"/>
+      <path start = "check_exist_on_hdfs_activities_2"/>
+	  <path start = "check_exist_on_hdfs_activities_3"/>
+	  <path start = "check_exist_on_hdfs_activities_4"/>
+	  <path start = "check_exist_on_hdfs_activities_5"/>
+	  <path start = "check_exist_on_hdfs_activities_6"/>
+	  <path start = "check_exist_on_hdfs_activities_7"/>
+	  <path start = "check_exist_on_hdfs_activities_8"/>
+	  <path start = "check_exist_on_hdfs_activities_9"/>
+	  <path start = "check_exist_on_hdfs_activities_X"/>
+   	</fork>
+   	
+    <decision name="check_exist_on_hdfs_activities_0">
+         <switch>
+            <case to="Gen_Orcid_Authors_DOIs_0">
+              ${fs:exists(concat(workingPath_activities,'/ORCID_2019_activites_0.tar.gz'))}
+            </case>
+            <default to="Download_0" />
+         </switch>
+	</decision>
+	
+    <action name="Download_0">
+		<shell xmlns="uri:oozie:shell-action:0.1">
+		<job-tracker>${jobTracker}</job-tracker>
+		<name-node>${nameNode}</name-node>
+		<exec>bash</exec>
+	    <argument>-c</argument>
+	    <argument>${shell_cmd_0}</argument>
+		<capture-output/>
+		</shell>
+	<ok to="Gen_Orcid_Authors_DOIs_0"/>
+	<error to="Kill"/>
+	</action>
+	
+	<action name="Gen_Orcid_Authors_DOIs_0">
+        <java>
+            <job-tracker>${jobTracker}</job-tracker>
+            <name-node>${nameNode}</name-node>
+            <main-class>eu.dnetlib.doiboost.orcid.OrcidAuthorsDOIsDataGen</main-class>
+            <arg>-d</arg><arg>${workingPath_activities}/</arg>
+            <arg>-n</arg><arg>${nameNode}</arg>
+            <arg>-f</arg><arg>ORCID_2019_activites_0.tar.gz</arg>
+            <arg>-o</arg><arg>output/authors_dois_0.seq</arg>
+        </java>
+        <ok to="join_node"/>
+        <error to="Kill"/>
+    </action>
+    
+    <decision name="check_exist_on_hdfs_activities_1">
+         <switch>
+            <case to="Gen_Orcid_Authors_DOIs_1">
+              ${fs:exists(concat(workingPath_activities,'/ORCID_2019_activites_1.tar.gz'))}
+            </case>
+            <default to="Download_1" />
+         </switch>
+	</decision>
+	
+    <action name="Download_1">
+		<shell xmlns="uri:oozie:shell-action:0.1">
+		<job-tracker>${jobTracker}</job-tracker>
+		<name-node>${nameNode}</name-node>
+		<exec>bash</exec>
+	    <argument>-c</argument>
+	    <argument>${shell_cmd_1}</argument>
+		<capture-output/>
+		</shell>
+	<ok to="Gen_Orcid_Authors_DOIs_1"/>
+	<error to="Kill"/>
+	</action>
+	
+	<action name="Gen_Orcid_Authors_DOIs_1">
+        <java>
+            <job-tracker>${jobTracker}</job-tracker>
+            <name-node>${nameNode}</name-node>
+            <main-class>eu.dnetlib.doiboost.orcid.OrcidAuthorsDOIsDataGen</main-class>
+            <arg>-d</arg><arg>${workingPath_activities}/</arg>
+            <arg>-n</arg><arg>${nameNode}</arg>
+            <arg>-f</arg><arg>ORCID_2019_activites_1.tar.gz</arg>
+            <arg>-o</arg><arg>output/authors_dois_1.seq</arg>
+        </java>
+        <ok to="join_node"/>
+        <error to="Kill"/>
+    </action>
+    
+    <decision name="check_exist_on_hdfs_activities_2">
+         <switch>
+            <case to="Gen_Orcid_Authors_DOIs_2">
+              ${fs:exists(concat(workingPath_activities,'/ORCID_2019_activites_2.tar.gz'))}
+            </case>
+            <default to="Download_2" />
+         </switch>
+	</decision>
+	
+    <action name="Download_2">
+		<shell xmlns="uri:oozie:shell-action:0.1">
+		<job-tracker>${jobTracker}</job-tracker>
+		<name-node>${nameNode}</name-node>
+		<exec>bash</exec>
+	    <argument>-c</argument>
+	    <argument>${shell_cmd_2}</argument>
+		<capture-output/>
+		</shell>
+	<ok to="Gen_Orcid_Authors_DOIs_2"/>
+	<error to="Kill"/>
+	</action>
+	
+	<action name="Gen_Orcid_Authors_DOIs_2">
+        <java>
+            <job-tracker>${jobTracker}</job-tracker>
+            <name-node>${nameNode}</name-node>
+            <main-class>eu.dnetlib.doiboost.orcid.OrcidAuthorsDOIsDataGen</main-class>
+            <arg>-d</arg><arg>${workingPath_activities}/</arg>
+            <arg>-n</arg><arg>${nameNode}</arg>
+            <arg>-f</arg><arg>ORCID_2019_activites_2.tar.gz</arg>
+            <arg>-o</arg><arg>output/authors_dois_2.seq</arg>
+        </java>
+        <ok to="join_node"/>
+        <error to="Kill"/>
+    </action>
+    
+    <decision name="check_exist_on_hdfs_activities_3">
+         <switch>
+            <case to="Gen_Orcid_Authors_DOIs_3">
+              ${fs:exists(concat(workingPath_activities,'/ORCID_2019_activites_3.tar.gz'))}
+            </case>
+            <default to="Download_3" />
+         </switch>
+	</decision>
+	
+    <action name="Download_3">
+		<shell xmlns="uri:oozie:shell-action:0.1">
+		<job-tracker>${jobTracker}</job-tracker>
+		<name-node>${nameNode}</name-node>
+		<exec>bash</exec>
+	    <argument>-c</argument>
+	    <argument>${shell_cmd_3}</argument>
+		<capture-output/>
+		</shell>
+	<ok to="Gen_Orcid_Authors_DOIs_3"/>
+	<error to="Kill"/>
+	</action>
+	
+	<action name="Gen_Orcid_Authors_DOIs_3">
+        <java>
+            <job-tracker>${jobTracker}</job-tracker>
+            <name-node>${nameNode}</name-node>
+            <main-class>eu.dnetlib.doiboost.orcid.OrcidAuthorsDOIsDataGen</main-class>
+            <arg>-d</arg><arg>${workingPath_activities}/</arg>
+            <arg>-n</arg><arg>${nameNode}</arg>
+            <arg>-f</arg><arg>ORCID_2019_activites_3.tar.gz</arg>
+            <arg>-o</arg><arg>output/authors_dois_3.seq</arg>
+        </java>
+        <ok to="join_node"/>
+        <error to="Kill"/>
+    </action>
+    
+    <decision name="check_exist_on_hdfs_activities_4">
+         <switch>
+            <case to="Gen_Orcid_Authors_DOIs_4">
+              ${fs:exists(concat(workingPath_activities,'/ORCID_2019_activites_4.tar.gz'))}
+            </case>
+            <default to="Download_4" />
+         </switch>
+	</decision>
+	
+    <action name="Download_4">
+		<shell xmlns="uri:oozie:shell-action:0.1">
+		<job-tracker>${jobTracker}</job-tracker>
+		<name-node>${nameNode}</name-node>
+		<exec>bash</exec>
+	    <argument>-c</argument>
+	    <argument>${shell_cmd_4}</argument>
+		<capture-output/>
+		</shell>
+	<ok to="Gen_Orcid_Authors_DOIs_4"/>
+	<error to="Kill"/>
+	</action>
+	
+	<action name="Gen_Orcid_Authors_DOIs_4">
+        <java>
+            <job-tracker>${jobTracker}</job-tracker>
+            <name-node>${nameNode}</name-node>
+            <main-class>eu.dnetlib.doiboost.orcid.OrcidAuthorsDOIsDataGen</main-class>
+            <arg>-d</arg><arg>${workingPath_activities}/</arg>
+            <arg>-n</arg><arg>${nameNode}</arg>
+            <arg>-f</arg><arg>ORCID_2019_activites_4.tar.gz</arg>
+            <arg>-o</arg><arg>output/authors_dois_4.seq</arg>
+        </java>
+        <ok to="join_node"/>
+        <error to="Kill"/>
+    </action>
+    
+    <decision name="check_exist_on_hdfs_activities_5">
+         <switch>
+            <case to="Gen_Orcid_Authors_DOIs_5">
+              ${fs:exists(concat(workingPath_activities,'/ORCID_2019_activites_5.tar.gz'))}
+            </case>
+            <default to="Download_5" />
+         </switch>
+	</decision>
+	
+    <action name="Download_5">
+		<shell xmlns="uri:oozie:shell-action:0.1">
+		<job-tracker>${jobTracker}</job-tracker>
+		<name-node>${nameNode}</name-node>
+		<exec>bash</exec>
+	    <argument>-c</argument>
+	    <argument>${shell_cmd_5}</argument>
+		<capture-output/>
+		</shell>
+	<ok to="Gen_Orcid_Authors_DOIs_5"/>
+	<error to="Kill"/>
+	</action>
+	
+	<action name="Gen_Orcid_Authors_DOIs_5">
+        <java>
+            <job-tracker>${jobTracker}</job-tracker>
+            <name-node>${nameNode}</name-node>
+            <main-class>eu.dnetlib.doiboost.orcid.OrcidAuthorsDOIsDataGen</main-class>
+            <arg>-d</arg><arg>${workingPath_activities}/</arg>
+            <arg>-n</arg><arg>${nameNode}</arg>
+            <arg>-f</arg><arg>ORCID_2019_activites_5.tar.gz</arg>
+            <arg>-o</arg><arg>output/authors_dois_5.seq</arg>
+        </java>
+        <ok to="join_node"/>
+        <error to="Kill"/>
+    </action>
+    
+    <decision name="check_exist_on_hdfs_activities_6">
+         <switch>
+            <case to="Gen_Orcid_Authors_DOIs_6">
+              ${fs:exists(concat(workingPath_activities,'/ORCID_2019_activites_6.tar.gz'))}
+            </case>
+            <default to="Download_6" />
+         </switch>
+	</decision>
+	
+    <action name="Download_6">
+		<shell xmlns="uri:oozie:shell-action:0.1">
+		<job-tracker>${jobTracker}</job-tracker>
+		<name-node>${nameNode}</name-node>
+		<exec>bash</exec>
+	    <argument>-c</argument>
+	    <argument>${shell_cmd_6}</argument>
+		<capture-output/>
+		</shell>
+	<ok to="Gen_Orcid_Authors_DOIs_6"/>
+	<error to="Kill"/>
+	</action>
+	
+	<action name="Gen_Orcid_Authors_DOIs_6">
+        <java>
+            <job-tracker>${jobTracker}</job-tracker>
+            <name-node>${nameNode}</name-node>
+            <main-class>eu.dnetlib.doiboost.orcid.OrcidAuthorsDOIsDataGen</main-class>
+            <arg>-d</arg><arg>${workingPath_activities}/</arg>
+            <arg>-n</arg><arg>${nameNode}</arg>
+            <arg>-f</arg><arg>ORCID_2019_activites_6.tar.gz</arg>
+            <arg>-o</arg><arg>output/authors_dois_6.seq</arg>
+        </java>
+        <ok to="join_node"/>
+        <error to="Kill"/>
+    </action>
+    
+    
+    <decision name="check_exist_on_hdfs_activities_7">
+         <switch>
+            <case to="Gen_Orcid_Authors_DOIs_7">
+              ${fs:exists(concat(workingPath_activities,'/ORCID_2019_activites_7.tar.gz'))}
+            </case>
+            <default to="Download_7" />
+         </switch>
+	</decision>
+	
+    <action name="Download_7">
+		<shell xmlns="uri:oozie:shell-action:0.1">
+		<job-tracker>${jobTracker}</job-tracker>
+		<name-node>${nameNode}</name-node>
+		<exec>bash</exec>
+	    <argument>-c</argument>
+	    <argument>${shell_cmd_7}</argument>
+		<capture-output/>
+		</shell>
+	<ok to="Gen_Orcid_Authors_DOIs_7"/>
+	<error to="Kill"/>
+	</action>
+	
+	<action name="Gen_Orcid_Authors_DOIs_7">
+        <java>
+            <job-tracker>${jobTracker}</job-tracker>
+            <name-node>${nameNode}</name-node>
+            <main-class>eu.dnetlib.doiboost.orcid.OrcidAuthorsDOIsDataGen</main-class>
+            <arg>-d</arg><arg>${workingPath_activities}/</arg>
+            <arg>-n</arg><arg>${nameNode}</arg>
+            <arg>-f</arg><arg>ORCID_2019_activites_7.tar.gz</arg>
+            <arg>-o</arg><arg>output/authors_dois_7.seq</arg>
+        </java>
+        <ok to="join_node"/>
+        <error to="Kill"/>
+    </action>
+    
+    <decision name="check_exist_on_hdfs_activities_8">
+         <switch>
+            <case to="Gen_Orcid_Authors_DOIs_8">
+              ${fs:exists(concat(workingPath_activities,'/ORCID_2019_activites_8.tar.gz'))}
+            </case>
+            <default to="Download_8" />
+         </switch>
+	</decision>
+	
+    <action name="Download_8">
+		<shell xmlns="uri:oozie:shell-action:0.1">
+		<job-tracker>${jobTracker}</job-tracker>
+		<name-node>${nameNode}</name-node>
+		<exec>bash</exec>
+	    <argument>-c</argument>
+	    <argument>${shell_cmd_8}</argument>
+		<capture-output/>
+		</shell>
+	<ok to="Gen_Orcid_Authors_DOIs_8"/>
+	<error to="Kill"/>
+	</action>
+	
+	<action name="Gen_Orcid_Authors_DOIs_8">
+        <java>
+            <job-tracker>${jobTracker}</job-tracker>
+            <name-node>${nameNode}</name-node>
+            <main-class>eu.dnetlib.doiboost.orcid.OrcidAuthorsDOIsDataGen</main-class>
+            <arg>-d</arg><arg>${workingPath_activities}/</arg>
+            <arg>-n</arg><arg>${nameNode}</arg>
+            <arg>-f</arg><arg>ORCID_2019_activites_8.tar.gz</arg>
+            <arg>-o</arg><arg>output/authors_dois_8.seq</arg>
+        </java>
+        <ok to="join_node"/>
+        <error to="Kill"/>
+    </action>
+    
+    <decision name="check_exist_on_hdfs_activities_9">
+         <switch>
+            <case to="Gen_Orcid_Authors_DOIs_9">
+              ${fs:exists(concat(workingPath_activities,'/ORCID_2019_activites_9.tar.gz'))}
+            </case>
+            <default to="Download_9" />
+         </switch>
+	</decision>
+	
+    <action name="Download_9">
+		<shell xmlns="uri:oozie:shell-action:0.1">
+		<job-tracker>${jobTracker}</job-tracker>
+		<name-node>${nameNode}</name-node>
+		<exec>bash</exec>
+	    <argument>-c</argument>
+	    <argument>${shell_cmd_9}</argument>
+		<capture-output/>
+		</shell>
+	<ok to="Gen_Orcid_Authors_DOIs_9"/>
+	<error to="Kill"/>
+	</action>
+	
+	<action name="Gen_Orcid_Authors_DOIs_9">
+        <java>
+            <job-tracker>${jobTracker}</job-tracker>
+            <name-node>${nameNode}</name-node>
+            <main-class>eu.dnetlib.doiboost.orcid.OrcidAuthorsDOIsDataGen</main-class>
+            <arg>-d</arg><arg>${workingPath_activities}/</arg>
+            <arg>-n</arg><arg>${nameNode}</arg>
+            <arg>-f</arg><arg>ORCID_2019_activites_9.tar.gz</arg>
+            <arg>-o</arg><arg>output/authors_dois_9.seq</arg>
+        </java>
+        <ok to="join_node"/>
+        <error to="Kill"/>
+    </action>
+    
+    <decision name="check_exist_on_hdfs_activities_X">
+         <switch>
+            <case to="Gen_Orcid_Authors_DOIs_X">
+              ${fs:exists(concat(workingPath_activities,'/ORCID_2019_activites_X.tar.gz'))}
+            </case>
+            <default to="Download_X" />
+         </switch>
+	</decision>
+	
+    <action name="Download_X">
+		<shell xmlns="uri:oozie:shell-action:0.1">
+		<job-tracker>${jobTracker}</job-tracker>
+		<name-node>${nameNode}</name-node>
+		<exec>bash</exec>
+	    <argument>-c</argument>
+	    <argument>${shell_cmd_X}</argument>
+		<capture-output/>
+		</shell>
+	<ok to="Gen_Orcid_Authors_DOIs_X"/>
+	<error to="Kill"/>
+	</action>
+	
+	<action name="Gen_Orcid_Authors_DOIs_X">
+        <java>
+            <job-tracker>${jobTracker}</job-tracker>
+            <name-node>${nameNode}</name-node>
+            <main-class>eu.dnetlib.doiboost.orcid.OrcidAuthorsDOIsDataGen</main-class>
+            <arg>-d</arg><arg>${workingPath_activities}/</arg>
+            <arg>-n</arg><arg>${nameNode}</arg>
+            <arg>-f</arg><arg>ORCID_2019_activites_X.tar.gz</arg>
+            <arg>-o</arg><arg>output/authors_dois_X.seq</arg>
+        </java>
+        <ok to="join_node"/>
+        <error to="Kill"/>
+    </action>
+    
+    <join name = "join_node" to = "End"/>
+    
+   <end name="End"/>
+</workflow-app>

dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/orcid_doi_author_list/oozie_app/config-default.xml

@@ -0,0 +1,18 @@
+<configuration>
+    <property>
+            <name>jobTracker</name>
+            <value>hadoop-rm3.garr-pa1.d4science.org:8032</value>
+    </property>
+    <property>
+            <name>nameNode</name>
+            <value>hdfs://hadoop-rm1.garr-pa1.d4science.org:8020</value>
+    </property>
+    <property>
+            <name>queueName</name>
+            <value>default</value>
+    </property>
+    <property>
+        <name>oozie.action.sharelib.for.spark</name>
+        <value>spark2</value>
+    </property>
+</configuration>

dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/orcid_doi_author_list/oozie_app/workflow.xml

@@ -0,0 +1,55 @@
+<workflow-app name="Gen_Doi_Author_List_WF" xmlns="uri:oozie:workflow:0.5">
+    <parameters>
+        <property>
+            <name>workingPath</name>
+            <description>the working dir base path</description>
+        </property>
+        <property>
+            <name>sparkDriverMemory</name>
+            <description>memory for driver process</description>
+        </property>
+        <property>
+            <name>sparkExecutorMemory</name>
+            <description>memory for individual executor</description>
+        </property>
+        <property>
+            <name>sparkExecutorCores</name>
+            <description>number of cores used by single executor</description>
+        </property>
+    </parameters>
+    
+    <start to="ResetWorkingPath"/>
+    
+    
+    <kill name="Kill">
+        <message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
+    </kill>
+    
+    <action name="ResetWorkingPath">
+        <fs>
+            <delete path='${workingPath_activities}/doi_author_list'/>
+        </fs>
+        <ok to="Gen_Doi_Author_List"/>
+        <error to="Kill"/>
+    </action>
+    
+	<action name="Gen_Doi_Author_List">
+        <spark xmlns="uri:oozie:spark-action:0.2">
+        	<job-tracker>${jobTracker}</job-tracker>
+            <name-node>${nameNode}</name-node>
+            <master>yarn</master>
+            <mode>cluster</mode>
+            <name>Gen_Doi_Author_List</name>
+            <class>eu.dnetlib.doiboost.orcid.SparkGenerateDoiAuthorList</class>
+            <jar>dhp-doiboost-1.2.1-SNAPSHOT.jar</jar>
+            <spark-opts>--num-executors 10 --conf spark.yarn.jars=&quot;hdfs://hadoop-rm1.garr-pa1.d4science.org:8020/user/oozie/share/lib/lib_20180405103059/spark2&quot; --executor-memory=${sparkExecutorMemory} --executor-cores=${sparkExecutorCores} --driver-memory=${sparkDriverMemory}
+            </spark-opts>
+            <arg>-w</arg><arg>${workingPath}/</arg>
+            <arg>-o</arg><arg>doi_author_list/</arg>
+        </spark>
+        <ok to="End"/>
+        <error to="Kill"/>
+    </action>
+    
+   <end name="End"/>
+</workflow-app>

dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/orcid_download/oozie_app/config-default.xml

@@ -0,0 +1,22 @@
+<configuration>
+    <property>
+        <name>jobTracker</name>
+        <value>yarnRM</value>
+    </property>
+    <property>
+        <name>nameNode</name>
+        <value>hdfs://nameservice1</value>
+    </property>
+    <property>
+        <name>oozie.action.sharelib.for.java</name>
+        <value>spark2</value>
+    </property>
+    <property>
+        <name>oozie.launcher.mapreduce.user.classpath.first</name>
+        <value>true</value>
+    </property>
+    <property>
+      <name>oozie.launcher.mapreduce.map.java.opts</name>
+      <value>-Xmx4g</value>
+    </property>
+</configuration>

dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/orcid_download/oozie_app/workflow.xml

@@ -0,0 +1,45 @@
+<workflow-app name="Orcid Download" xmlns="uri:oozie:workflow:0.5">
+    <parameters>
+        <property>
+            <name>workingPathOrcid</name>
+            <description>the working dir base path</description>
+        </property>
+        <property>
+            <name>token</name>
+            <description>access token</description>
+        </property>
+    </parameters>
+    
+    <start to="ResetWorkingPath"/>
+    
+    
+    <kill name="Kill">
+        <message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
+    </kill>
+    
+    <action name="ResetWorkingPath">
+        <fs>
+            <delete path='${workingPathOrcid}/download'/>
+            <mkdir path='${workingPathOrcid}/download'/>
+        </fs>
+        <ok to="DownloadOrcidData"/>
+        <error to="Kill"/>
+    </action>
+	
+	<action name="DownloadOrcidData">
+        <java>
+            <job-tracker>${jobTracker}</job-tracker>
+            <name-node>${nameNode}</name-node>
+            <main-class>eu.dnetlib.doiboost.orcid.OrcidDownloader</main-class>
+            <arg>-d</arg><arg>${workingPathOrcid}/</arg>
+            <arg>-n</arg><arg>${nameNode}</arg>
+            <arg>-f</arg><arg>last_modified.csv</arg>
+            <arg>-o</arg><arg>download/</arg>
+            <arg>-t</arg><arg>${token}</arg>
+        </java>
+        <ok to="End"/>
+        <error to="Kill"/>
+    </action>
+    
+   <end name="End"/>
+</workflow-app>

dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/orcid_gen_authors/oozie_app/config-default.xml

@@ -0,0 +1,22 @@
+<configuration>
+    <property>
+            <name>jobTracker</name>
+            <value>hadoop-rm3.garr-pa1.d4science.org:8032</value>
+    </property>
+    <property>
+            <name>nameNode</name>
+            <value>hdfs://hadoop-rm1.garr-pa1.d4science.org:8020</value>
+    </property>
+    <property>
+            <name>queueName</name>
+            <value>default</value>
+    </property>
+    <property>
+        <name>oozie.use.system.libpath</name>
+        <value>true</value>
+    </property>
+    <property>
+        <name>oozie.action.sharelib.for.spark</name>
+        <value>spark2</value>
+    </property>
+</configuration>

dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/orcid_gen_authors/oozie_app/workflow.xml

@@ -0,0 +1,83 @@
+<workflow-app name="Gen Orcid Authors" xmlns="uri:oozie:workflow:0.5">
+    <parameters>
+        <property>
+            <name>workingPath</name>
+            <description>the working dir base path</description>
+        </property>
+        <property>
+            <name>token</name>
+            <description>access token</description>
+        </property>
+        <property>
+            <name>sparkDriverMemory</name>
+            <description>memory for driver process</description>
+        </property>
+        <property>
+            <name>sparkExecutorMemory</name>
+            <description>memory for individual executor</description>
+        </property>
+        <property>
+            <name>sparkExecutorCores</name>
+            <description>number of cores used by single executor</description>
+        </property>
+        <property>
+            <name>outputPath</name>
+            <description>the working dir base path</description>
+        </property>
+    </parameters>
+    
+    <start to="ResetWorkingPath"/>
+    
+    
+    <kill name="Kill">
+        <message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
+    </kill>
+    
+    <action name="ResetWorkingPath">
+        <fs>
+            <delete path='${workingPath_activities}/authors'/>
+        </fs>
+        <ok to="Gen_Orcid_Authors"/>
+        <error to="Kill"/>
+    </action>
+	
+	<action name="Split_Lambda_File">
+        <spark xmlns="uri:oozie:spark-action:0.2">
+        	<job-tracker>${jobTracker}</job-tracker>
+            <name-node>${nameNode}</name-node>
+            <master>yarn</master>
+            <mode>cluster</mode>
+            <name>Split_Lambda_File</name>
+            <class>eu.dnetlib.doiboost.orcid.SparkPartitionLambdaFile</class>
+            <jar>dhp-doiboost-1.2.1-SNAPSHOT.jar</jar>
+            <spark-opts>--num-executors 24 --conf spark.yarn.jars=&quot;hdfs://hadoop-rm1.garr-pa1.d4science.org:8020/user/oozie/share/lib/lib_20180405103059/spark2&quot; --executor-memory=${sparkExecutorMemory} --executor-cores=${sparkExecutorCores} --driver-memory=${sparkDriverMemory}
+            </spark-opts>
+            <arg>-w</arg><arg>${workingPath}/</arg>
+            <arg>-o</arg><arg>authors/</arg>
+            <arg>-t</arg><arg>${token}</arg>
+        </spark>
+        <ok to="End"/>
+        <error to="Kill"/>
+    </action>
+    
+	<action name="Gen_Orcid_Authors">
+        <spark xmlns="uri:oozie:spark-action:0.2">
+        	<job-tracker>${jobTracker}</job-tracker>
+            <name-node>${nameNode}</name-node>
+            <master>yarn</master>
+            <mode>cluster</mode>
+            <name>Gen_Orcid_Authors</name>
+            <class>eu.dnetlib.doiboost.orcid.SparkOrcidGenerateAuthors</class>
+            <jar>dhp-doiboost-1.2.1-SNAPSHOT.jar</jar>
+            <spark-opts>--num-executors 20 --conf spark.yarn.jars=&quot;hdfs://hadoop-rm1.garr-pa1.d4science.org:8020/user/oozie/share/lib/lib_20180405103059/spark2&quot; --executor-memory=${sparkExecutorMemory} --executor-cores=${sparkExecutorCores} --driver-memory=${sparkDriverMemory}
+            </spark-opts>
+            <arg>-w</arg><arg>${workingPath}/</arg>
+            <arg>-o</arg><arg>authors/</arg>
+            <arg>-t</arg><arg>${token}</arg>
+        </spark>
+        <ok to="End"/>
+        <error to="Kill"/>
+    </action>
+    
+   <end name="End"/>
+</workflow-app>

dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/orcid_oaf/oozie_app/config-default.xml

@@ -0,0 +1,38 @@
+<configuration>
+    <property>
+        <name>jobTracker</name>
+        <value>yarnRM</value>
+    </property>
+    <property>
+        <name>nameNode</name>
+        <value>hdfs://nameservice1</value>
+    </property>
+    <property>
+        <name>oozie.use.system.libpath</name>
+        <value>true</value>
+    </property>
+    <property>
+        <name>oozie.action.sharelib.for.spark</name>
+        <value>spark2</value>
+    </property>
+    <property>
+        <name>hive_metastore_uris</name>
+        <value>thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083</value>
+    </property>
+    <property>
+        <name>spark2YarnHistoryServerAddress</name>
+        <value>http://iis-cdh5-test-gw.ocean.icm.edu.pl:18089</value>
+    </property>
+    <property>
+        <name>spark2EventLogDir</name>
+        <value>/user/spark/spark2ApplicationHistory</value>
+    </property>
+    <property>
+        <name>spark2ExtraListeners</name>
+        <value>"com.cloudera.spark.lineage.NavigatorAppListener"</value>
+    </property>
+    <property>
+        <name>spark2SqlQueryExecutionListeners</name>
+        <value>"com.cloudera.spark.lineage.NavigatorQueryListener"</value>
+    </property>
+</configuration>

dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/orcid_oaf/oozie_app/workflow.xml

@@ -0,0 +1,55 @@
+<workflow-app name="import ORCID into HDFS" xmlns="uri:oozie:workflow:0.5">
+    <parameters>
+        <property>
+            <name>sourcePath</name>
+            <description>the working dir base path</description>
+        </property>
+        <property>
+            <name>targetPath</name>
+            <description>the working dir base path</description>
+        </property>
+        <property>
+            <name>sparkDriverMemory</name>
+            <description>memory for driver process</description>
+        </property>
+        <property>
+            <name>sparkExecutorMemory</name>
+            <description>memory for individual executor</description>
+        </property>
+        <property>
+            <name>sparkExecutorCores</name>
+            <description>number of cores used by single executor</description>
+        </property>
+    </parameters>
+
+    <start to="PreprocessORCID"/>
+
+
+    <kill name="Kill">
+        <message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
+    </kill>
+
+    <action name="PreprocessORCID">
+        <spark xmlns="uri:oozie:spark-action:0.2">
+            <master>yarn-cluster</master>
+            <mode>cluster</mode>
+            <name>Convert ORCID to Dataset</name>
+            <class>eu.dnetlib.doiboost.orcid.SparkConvertORCIDToOAF</class>
+            <jar>dhp-doiboost-${projectVersion}.jar</jar>
+            <spark-opts>
+                --executor-memory=${sparkExecutorMemory}
+                --executor-cores=${sparkExecutorCores}
+                --driver-memory=${sparkDriverMemory}
+                --conf spark.sql.shuffle.partitions=3840
+                ${sparkExtraOPT}
+            </spark-opts>
+            <arg>--sourcePath</arg><arg>${sourcePath}</arg>
+            <arg>--targetPath</arg><arg>${targetPath}</arg>
+            <arg>--master</arg><arg>yarn-cluster</arg>
+        </spark>
+        <ok to="End"/>
+        <error to="Kill"/>
+    </action>
+
+    <end name="End"/>
+</workflow-app>

dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/unpaywall/oozie_app/config-default.xml

@@ -0,0 +1,38 @@
+<configuration>
+    <property>
+        <name>jobTracker</name>
+        <value>yarnRM</value>
+    </property>
+    <property>
+        <name>nameNode</name>
+        <value>hdfs://nameservice1</value>
+    </property>
+    <property>
+        <name>oozie.use.system.libpath</name>
+        <value>true</value>
+    </property>
+    <property>
+        <name>oozie.action.sharelib.for.spark</name>
+        <value>spark2</value>
+    </property>
+    <property>
+        <name>hive_metastore_uris</name>
+        <value>thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083</value>
+    </property>
+    <property>
+        <name>spark2YarnHistoryServerAddress</name>
+        <value>http://iis-cdh5-test-gw.ocean.icm.edu.pl:18089</value>
+    </property>
+    <property>
+        <name>spark2EventLogDir</name>
+        <value>/user/spark/spark2ApplicationHistory</value>
+    </property>
+    <property>
+        <name>spark2ExtraListeners</name>
+        <value>"com.cloudera.spark.lineage.NavigatorAppListener"</value>
+    </property>
+    <property>
+        <name>spark2SqlQueryExecutionListeners</name>
+        <value>"com.cloudera.spark.lineage.NavigatorQueryListener"</value>
+    </property>
+</configuration>

dhp-workflows/dhp-doiboost/src/main/resources/eu/dnetlib/dhp/doiboost/unpaywall/oozie_app/workflow.xml

@@ -0,0 +1,55 @@
+<workflow-app name="import UnpayWall into HDFS" xmlns="uri:oozie:workflow:0.5">
+    <parameters>
+        <property>
+            <name>sourcePath</name>
+            <description>the working dir base path</description>
+        </property>
+        <property>
+            <name>targetPath</name>
+            <description>the working dir base path</description>
+        </property>
+        <property>
+            <name>sparkDriverMemory</name>
+            <description>memory for driver process</description>
+        </property>
+        <property>
+            <name>sparkExecutorMemory</name>
+            <description>memory for individual executor</description>
+        </property>
+        <property>
+            <name>sparkExecutorCores</name>
+            <description>number of cores used by single executor</description>
+        </property>
+    </parameters>
+
+    <start to="PreprocessUW"/>
+
+
+    <kill name="Kill">
+        <message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
+    </kill>
+
+    <action name="PreprocessUW">
+        <spark xmlns="uri:oozie:spark-action:0.2">
+            <master>yarn-cluster</master>
+            <mode>cluster</mode>
+            <name>Convert UnpayWall to Dataset</name>
+            <class>eu.dnetlib.doiboost.uw.SparkMapUnpayWallToOAF</class>
+            <jar>dhp-doiboost-${projectVersion}.jar</jar>
+            <spark-opts>
+                --executor-memory=${sparkExecutorMemory}
+                --executor-cores=${sparkExecutorCores}
+                --driver-memory=${sparkDriverMemory}
+                --conf spark.sql.shuffle.partitions=3840
+                ${sparkExtraOPT}
+            </spark-opts>
+            <arg>--sourcePath</arg><arg>${sourcePath}/uw_extracted</arg>
+            <arg>--targetPath</arg><arg>${targetPath}</arg>
+            <arg>--master</arg><arg>yarn-cluster</arg>
+        </spark>
+        <ok to="End"/>
+        <error to="Kill"/>
+    </action>
+
+    <end name="End"/>
+</workflow-app>

dhp-workflows/dhp-doiboost/src/test/java/eu/dnetlib/dhp/doiboost/DoiBoostHostedByMapTest.scala

@@ -0,0 +1,70 @@
+package eu.dnetlib.dhp.doiboost
+
+import eu.dnetlib.dhp.schema.oaf.{Publication, Dataset => OafDataset}
+import eu.dnetlib.doiboost.{DoiBoostMappingUtil, HostedByItemType}
+import eu.dnetlib.doiboost.SparkGenerateDoiBoost.getClass
+import eu.dnetlib.doiboost.mag.ConversionUtil
+import eu.dnetlib.doiboost.orcid.ORCIDElement
+import org.apache.spark.SparkConf
+import org.apache.spark.rdd.RDD
+import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
+import org.codehaus.jackson.map.{ObjectMapper, SerializationConfig}
+import org.junit.jupiter.api.Test
+
+import scala.io.Source
+
+class DoiBoostHostedByMapTest {
+
+
+
+//  @Test
+//  def testMerge():Unit = {
+//    val conf: SparkConf = new SparkConf()
+//    val spark: SparkSession =
+//      SparkSession
+//        .builder()
+//        .config(conf)
+//        .appName(getClass.getSimpleName)
+//        .master("local[*]").getOrCreate()
+//
+//
+//
+//    implicit val mapEncoderPub: Encoder[Publication] = Encoders.kryo[Publication]
+//    implicit val mapEncoderDataset: Encoder[OafDataset] = Encoders.kryo[OafDataset]
+//    implicit val tupleForJoinEncoder: Encoder[(String, Publication)] = Encoders.tuple(Encoders.STRING, mapEncoderPub)
+//
+//
+//    import spark.implicits._
+//    val dataset:RDD[String]= spark.sparkContext.textFile("/home/sandro/Downloads/hbMap.gz")
+//
+//
+//    val hbMap:Dataset[(String, HostedByItemType)] =spark.createDataset(dataset.map(DoiBoostMappingUtil.toHostedByItem))
+//
+//
+//    hbMap.show()
+//
+//
+//
+//
+//
+//
+//
+//
+//
+//
+//  }
+
+
+  @Test
+  def idDSGeneration():Unit = {
+    val s ="doajarticles::0066-782X"
+
+
+
+    println(DoiBoostMappingUtil.generateDSId(s))
+
+
+  }
+
+
+}

dhp-workflows/dhp-doiboost/src/test/java/eu/dnetlib/doiboost/crossref/CrossrefMappingTest.scala

@@ -0,0 +1,365 @@
+package eu.dnetlib.doiboost.crossref
+
+import eu.dnetlib.dhp.schema.oaf._
+import eu.dnetlib.dhp.utils.DHPUtils
+import org.codehaus.jackson.map.{ObjectMapper, SerializationConfig}
+import org.junit.jupiter.api.Assertions._
+import org.junit.jupiter.api.Test
+import org.slf4j.{Logger, LoggerFactory}
+
+import scala.collection.JavaConverters._
+import scala.io.Source
+import scala.util.matching.Regex
+
+
+class CrossrefMappingTest {
+
+  val logger: Logger = LoggerFactory.getLogger(Crossref2Oaf.getClass)
+  val mapper = new ObjectMapper()
+
+
+  @Test
+  def testFunderRelationshipsMapping(): Unit = {
+    val template = Source.fromInputStream(getClass.getResourceAsStream("article_funder_template.json")).mkString
+    val funder_doi = Source.fromInputStream(getClass.getResourceAsStream("funder_doi")).mkString
+    val funder_name = Source.fromInputStream(getClass.getResourceAsStream("funder_doi")).mkString
+
+
+    for (line <- funder_doi.lines) {
+      val json = template.replace("%s", line)
+      val resultList: List[Oaf] = Crossref2Oaf.convert(json)
+      assertTrue(resultList.nonEmpty)
+      checkRelation(resultList)
+    }
+    for (line <- funder_name.lines) {
+      val json = template.replace("%s", line)
+      val resultList: List[Oaf] = Crossref2Oaf.convert(json)
+      assertTrue(resultList.nonEmpty)
+      checkRelation(resultList)
+    }
+  }
+
+  def checkRelation(generatedOAF: List[Oaf]): Unit = {
+
+    val rels: List[Relation] = generatedOAF.filter(p => p.isInstanceOf[Relation]).asInstanceOf[List[Relation]]
+    assertFalse(rels.isEmpty)
+    rels.foreach(relation => {
+      val relJson = mapper.writeValueAsString(relation)
+
+      assertNotNull(relation.getSource, s"Source of relation null $relJson")
+      assertNotNull(relation.getTarget, s"Target of relation null $relJson")
+      assertFalse(relation.getTarget.isEmpty, s"Target is empty: $relJson")
+      assertFalse(relation.getRelClass.isEmpty, s"RelClass is empty: $relJson")
+      assertFalse(relation.getRelType.isEmpty, s"RelType is empty: $relJson")
+      assertFalse(relation.getSubRelType.isEmpty, s"SubRelType is empty: $relJson")
+
+    })
+
+  }
+
+
+  @Test
+  def testEmptyTitle() :Unit = {
+    val json = Source.fromInputStream(getClass.getResourceAsStream("empty_title.json")).mkString
+
+
+    assertNotNull(json)
+    assertFalse(json.isEmpty);
+
+    val resultList: List[Oaf] = Crossref2Oaf.convert(json)
+
+    assertTrue(resultList.nonEmpty)
+
+    val items = resultList.filter(p => p.isInstanceOf[Result])
+
+
+    mapper.getSerializationConfig.enable(SerializationConfig.Feature.INDENT_OUTPUT)
+    items.foreach(p => println(mapper.writeValueAsString(p)))
+
+
+  }
+
+
+  @Test
+  def testPeerReviewed(): Unit = {
+    val json = Source.fromInputStream(getClass.getResourceAsStream("prwTest.json")).mkString
+    mapper.getSerializationConfig.enable(SerializationConfig.Feature.INDENT_OUTPUT)
+
+    assertNotNull(json)
+    assertFalse(json.isEmpty);
+
+    val resultList: List[Oaf] = Crossref2Oaf.convert(json)
+
+    assertTrue(resultList.nonEmpty)
+
+    val items = resultList.filter(p => p.isInstanceOf[Result])
+
+
+    items.foreach(p => logger.info(mapper.writeValueAsString(p)))
+
+
+
+
+  }
+
+  def extractECAward(award: String): String = {
+    val awardECRegex: Regex = "[0-9]{4,9}".r
+    if (awardECRegex.findAllIn(award).hasNext)
+      return awardECRegex.findAllIn(award).max
+    null
+  }
+
+
+  @Test
+  def extractECTest(): Unit = {
+    val s =  "FP7/2007-2013"
+    val awardExtracted = extractECAward(s)
+    println(awardExtracted)
+
+    println(DHPUtils.md5(awardExtracted))
+
+
+  }
+
+  @Test
+  def testJournalRelation(): Unit = {
+    val json = Source.fromInputStream(getClass.getResourceAsStream("awardTest.json")).mkString
+    assertNotNull(json)
+
+    assertFalse(json.isEmpty)
+
+    val resultList: List[Oaf] = Crossref2Oaf.convert(json)
+
+    assertTrue(resultList.nonEmpty)
+    val rels:List[Relation] = resultList.filter(p => p.isInstanceOf[Relation]).map(r=> r.asInstanceOf[Relation])
+
+
+
+    rels.foreach(s => logger.info(s.getTarget))
+    assertEquals(rels.size, 3 )
+
+
+  }
+
+
+  @Test
+  def testConvertBookFromCrossRef2Oaf(): Unit = {
+    val json = Source.fromInputStream(getClass.getResourceAsStream("book.json")).mkString
+    assertNotNull(json)
+
+    assertFalse(json.isEmpty);
+
+    val resultList: List[Oaf] = Crossref2Oaf.convert(json)
+
+    assertTrue(resultList.nonEmpty)
+
+    val items = resultList.filter(p => p.isInstanceOf[Result])
+
+    assert(items.nonEmpty)
+    assert(items.size == 1)
+    val result: Result = items.head.asInstanceOf[Result]
+    assertNotNull(result)
+
+    logger.info(mapper.writeValueAsString(result));
+
+    assertNotNull(result.getDataInfo, "Datainfo test not null Failed");
+    assertNotNull(
+      result.getDataInfo.getProvenanceaction,
+      "DataInfo/Provenance test not null Failed");
+    assertFalse(
+      result.getDataInfo.getProvenanceaction.getClassid.isEmpty,
+      "DataInfo/Provenance/classId test not null Failed");
+    assertFalse(
+      result.getDataInfo.getProvenanceaction.getClassname.isEmpty,
+      "DataInfo/Provenance/className test not null Failed");
+    assertFalse(
+      result.getDataInfo.getProvenanceaction.getSchemeid.isEmpty,
+      "DataInfo/Provenance/SchemeId test not null Failed");
+    assertFalse(
+      result.getDataInfo.getProvenanceaction.getSchemename.isEmpty,
+      "DataInfo/Provenance/SchemeName test not null Failed");
+
+    assertNotNull(result.getCollectedfrom, "CollectedFrom test not null Failed");
+    assertFalse(result.getCollectedfrom.isEmpty);
+
+    val collectedFromList = result.getCollectedfrom.asScala
+    assert(collectedFromList.exists(c => c.getKey.equalsIgnoreCase("10|openaire____::081b82f96300b6a6e3d282bad31cb6e2")), "Wrong collected from assertion")
+
+    assert(collectedFromList.exists(c => c.getValue.equalsIgnoreCase("crossref")), "Wrong collected from assertion")
+
+
+    val relevantDates = result.getRelevantdate.asScala
+
+    assert(relevantDates.exists(d => d.getQualifier.getClassid.equalsIgnoreCase("created")), "Missing relevant date of type created")
+    assert(relevantDates.exists(d => d.getQualifier.getClassid.equalsIgnoreCase("published-online")), "Missing relevant date of type published-online")
+    assert(relevantDates.exists(d => d.getQualifier.getClassid.equalsIgnoreCase("published-print")), "Missing relevant date of type published-print")
+    val rels = resultList.filter(p => p.isInstanceOf[Relation])
+    assert(rels.isEmpty)
+  }
+
+
+  @Test
+  def testConvertPreprintFromCrossRef2Oaf(): Unit = {
+    val json = Source.fromInputStream(getClass.getResourceAsStream("preprint.json")).mkString
+    assertNotNull(json)
+
+    assertFalse(json.isEmpty);
+
+    val resultList: List[Oaf] = Crossref2Oaf.convert(json)
+
+    assertTrue(resultList.nonEmpty)
+
+    val items = resultList.filter(p => p.isInstanceOf[Publication])
+
+    assert(items.nonEmpty)
+    assert(items.size == 1)
+    val result: Result = items.head.asInstanceOf[Publication]
+    assertNotNull(result)
+
+    logger.info(mapper.writeValueAsString(result));
+
+    assertNotNull(result.getDataInfo, "Datainfo test not null Failed");
+    assertNotNull(
+      result.getDataInfo.getProvenanceaction,
+      "DataInfo/Provenance test not null Failed");
+    assertFalse(
+      result.getDataInfo.getProvenanceaction.getClassid.isEmpty,
+      "DataInfo/Provenance/classId test not null Failed");
+    assertFalse(
+      result.getDataInfo.getProvenanceaction.getClassname.isEmpty,
+      "DataInfo/Provenance/className test not null Failed");
+    assertFalse(
+      result.getDataInfo.getProvenanceaction.getSchemeid.isEmpty,
+      "DataInfo/Provenance/SchemeId test not null Failed");
+    assertFalse(
+      result.getDataInfo.getProvenanceaction.getSchemename.isEmpty,
+      "DataInfo/Provenance/SchemeName test not null Failed");
+
+    assertNotNull(result.getCollectedfrom, "CollectedFrom test not null Failed");
+    assertFalse(result.getCollectedfrom.isEmpty);
+
+    val collectedFromList = result.getCollectedfrom.asScala
+    assert(collectedFromList.exists(c => c.getKey.equalsIgnoreCase("10|openaire____::081b82f96300b6a6e3d282bad31cb6e2")), "Wrong collected from assertion")
+
+    assert(collectedFromList.exists(c => c.getValue.equalsIgnoreCase("crossref")), "Wrong collected from assertion")
+
+
+    val relevantDates = result.getRelevantdate.asScala
+
+    assert(relevantDates.exists(d => d.getQualifier.getClassid.equalsIgnoreCase("created")), "Missing relevant date of type created")
+    assert(relevantDates.exists(d => d.getQualifier.getClassid.equalsIgnoreCase("available")), "Missing relevant date of type available")
+    assert(relevantDates.exists(d => d.getQualifier.getClassid.equalsIgnoreCase("accepted")), "Missing relevant date of type accepted")
+    assert(relevantDates.exists(d => d.getQualifier.getClassid.equalsIgnoreCase("published-online")), "Missing relevant date of type published-online")
+    assert(relevantDates.exists(d => d.getQualifier.getClassid.equalsIgnoreCase("published-print")), "Missing relevant date of type published-print")
+    val rels = resultList.filter(p => p.isInstanceOf[Relation])
+    assert(rels.isEmpty)
+  }
+
+
+  @Test
+  def testConvertDatasetFromCrossRef2Oaf(): Unit = {
+    val json = Source.fromInputStream(getClass.getResourceAsStream("dataset.json")).mkString
+    assertNotNull(json)
+
+    assertFalse(json.isEmpty);
+
+    val resultList: List[Oaf] = Crossref2Oaf.convert(json)
+
+    assertTrue(resultList.nonEmpty)
+
+    val items = resultList.filter(p => p.isInstanceOf[Dataset])
+
+    assert(items.nonEmpty)
+    assert(items.size == 1)
+    val result: Result = items.head.asInstanceOf[Dataset]
+    assertNotNull(result)
+
+    logger.info(mapper.writeValueAsString(result));
+
+    assertNotNull(result.getDataInfo, "Datainfo test not null Failed");
+    assertNotNull(
+      result.getDataInfo.getProvenanceaction,
+      "DataInfo/Provenance test not null Failed");
+    assertFalse(
+      result.getDataInfo.getProvenanceaction.getClassid.isEmpty,
+      "DataInfo/Provenance/classId test not null Failed");
+    assertFalse(
+      result.getDataInfo.getProvenanceaction.getClassname.isEmpty,
+      "DataInfo/Provenance/className test not null Failed");
+    assertFalse(
+      result.getDataInfo.getProvenanceaction.getSchemeid.isEmpty,
+      "DataInfo/Provenance/SchemeId test not null Failed");
+    assertFalse(
+      result.getDataInfo.getProvenanceaction.getSchemename.isEmpty,
+      "DataInfo/Provenance/SchemeName test not null Failed");
+
+    assertNotNull(result.getCollectedfrom, "CollectedFrom test not null Failed");
+    assertFalse(result.getCollectedfrom.isEmpty);
+  }
+
+  @Test
+  def testConvertArticleFromCrossRef2Oaf(): Unit = {
+    val json = Source.fromInputStream(getClass.getResourceAsStream("article.json")).mkString
+    assertNotNull(json)
+
+    assertFalse(json.isEmpty);
+
+    val resultList: List[Oaf] = Crossref2Oaf.convert(json)
+
+    assertTrue(resultList.nonEmpty)
+
+    val items = resultList.filter(p => p.isInstanceOf[Publication])
+
+    assert(items.nonEmpty)
+    assert(items.size == 1)
+    val result: Result = items.head.asInstanceOf[Publication]
+    assertNotNull(result)
+
+    logger.info(mapper.writeValueAsString(result));
+
+    assertNotNull(result.getDataInfo, "Datainfo test not null Failed");
+    assertNotNull(
+      result.getDataInfo.getProvenanceaction,
+      "DataInfo/Provenance test not null Failed");
+    assertFalse(
+      result.getDataInfo.getProvenanceaction.getClassid.isEmpty,
+      "DataInfo/Provenance/classId test not null Failed");
+    assertFalse(
+      result.getDataInfo.getProvenanceaction.getClassname.isEmpty,
+      "DataInfo/Provenance/className test not null Failed");
+    assertFalse(
+      result.getDataInfo.getProvenanceaction.getSchemeid.isEmpty,
+      "DataInfo/Provenance/SchemeId test not null Failed");
+    assertFalse(
+      result.getDataInfo.getProvenanceaction.getSchemename.isEmpty,
+      "DataInfo/Provenance/SchemeName test not null Failed");
+
+    assertNotNull(result.getCollectedfrom, "CollectedFrom test not null Failed");
+    assertFalse(result.getCollectedfrom.isEmpty);
+
+    val collectedFromList = result.getCollectedfrom.asScala
+    assert(collectedFromList.exists(c => c.getKey.equalsIgnoreCase("10|openaire____::081b82f96300b6a6e3d282bad31cb6e2")), "Wrong collected from assertion")
+
+    assert(collectedFromList.exists(c => c.getValue.equalsIgnoreCase("crossref")), "Wrong collected from assertion")
+
+
+    val relevantDates = result.getRelevantdate.asScala
+
+    assert(relevantDates.exists(d => d.getQualifier.getClassid.equalsIgnoreCase("created")), "Missing relevant date of type created")
+
+    val rels = resultList.filter(p => p.isInstanceOf[Relation]).asInstanceOf[List[Relation]]
+    assertFalse(rels.isEmpty)
+    rels.foreach(relation => {
+      assertNotNull(relation)
+      assertFalse(relation.getSource.isEmpty)
+      assertFalse(relation.getTarget.isEmpty)
+      assertFalse(relation.getRelClass.isEmpty)
+      assertFalse(relation.getRelType.isEmpty)
+      assertFalse(relation.getSubRelType.isEmpty)
+
+    })
+
+
+  }
+
+}

dhp-workflows/dhp-doiboost/src/test/java/eu/dnetlib/doiboost/mag/MAGMappingTest.scala

@@ -0,0 +1,69 @@
+package eu.dnetlib.doiboost.mag
+
+import java.sql.Timestamp
+
+import eu.dnetlib.dhp.schema.oaf.Publication
+import org.apache.htrace.fasterxml.jackson.databind.SerializationFeature
+import org.apache.spark.SparkConf
+import org.apache.spark.api.java.function.MapFunction
+import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
+import org.codehaus.jackson.map.{ObjectMapper, SerializationConfig}
+import org.junit.jupiter.api.Test
+import org.slf4j.{Logger, LoggerFactory}
+import org.junit.jupiter.api.Assertions._
+import org.apache.spark.sql.functions._
+
+import scala.collection.JavaConverters._
+import scala.io.Source
+import scala.reflect.ClassTag
+import scala.util.matching.Regex
+
+
+
+class MAGMappingTest {
+
+  val logger: Logger = LoggerFactory.getLogger(getClass)
+  val mapper = new ObjectMapper()
+
+
+
+
+  @Test
+  def testSplitter():Unit = {
+    val s = "sports.team"
+
+
+    if (s.contains(".")) {
+      println(s.split("\\.")head)
+    }
+
+  }
+
+
+
+  @Test
+  def testDate() :Unit = {
+
+    val p:Timestamp = Timestamp.valueOf("2011-10-02 00:00:00")
+
+    println(p.toString.substring(0,10))
+
+  }
+
+
+
+  @Test
+  def buildInvertedIndexTest(): Unit = {
+    val json_input = Source.fromInputStream(getClass.getResourceAsStream("invertedIndex.json")).mkString
+    val description = ConversionUtil.convertInvertedIndexString(json_input)
+    assertNotNull(description)
+    assertTrue(description.nonEmpty)
+
+    logger.debug(description)
+
+  }
+
+
+}
+
+

dhp-workflows/dhp-doiboost/src/test/java/eu/dnetlib/doiboost/orcid/MappingORCIDToOAFTest.scala

@@ -0,0 +1,30 @@
+package eu.dnetlib.doiboost.orcid
+
+import eu.dnetlib.dhp.schema.oaf.Publication
+import eu.dnetlib.doiboost.crossref.Crossref2Oaf
+import org.codehaus.jackson.map.{ObjectMapper, SerializationConfig}
+import org.junit.jupiter.api.Test
+import org.slf4j.{Logger, LoggerFactory}
+import org.junit.jupiter.api.Assertions._
+
+import scala.io.Source
+
+class MappingORCIDToOAFTest {
+  val logger: Logger = LoggerFactory.getLogger(Crossref2Oaf.getClass)
+  val mapper = new ObjectMapper()
+
+  @Test
+  def testExtractData():Unit ={
+    val json = Source.fromInputStream(getClass.getResourceAsStream("dataOutput")).mkString
+    assertNotNull(json)
+    assertFalse(json.isEmpty)
+    json.lines.foreach(s => {
+      assertNotNull(ORCIDToOAF.extractValueFromInputString(s))
+    })
+  }
+
+
+
+
+
+}

dhp-workflows/dhp-doiboost/src/test/java/eu/dnetlib/doiboost/orcid/OrcidClientTest.java

@@ -0,0 +1,136 @@
+
+package eu.dnetlib.doiboost.orcid;
+
+import static org.junit.jupiter.api.Assertions.assertTrue;
+
+import java.io.BufferedReader;
+import java.io.IOException;
+import java.io.InputStreamReader;
+import java.text.ParseException;
+import java.text.SimpleDateFormat;
+import java.util.Arrays;
+import java.util.Date;
+import java.util.List;
+
+import org.apache.commons.io.IOUtils;
+import org.apache.http.client.methods.CloseableHttpResponse;
+import org.apache.http.client.methods.HttpGet;
+import org.apache.http.impl.client.CloseableHttpClient;
+import org.apache.http.impl.client.HttpClients;
+import org.junit.jupiter.api.Test;
+
+import eu.dnetlib.dhp.application.ArgumentApplicationParser;
+
+public class OrcidClientTest {
+	final String orcidId = "0000-0001-7291-3210";
+	final int REQ_LIMIT = 24;
+	final int REQ_MAX_TEST = 100;
+	final int RECORD_DOWNLOADED_COUNTER_LOG_INTERVAL = 10;
+	final String DATE_FORMAT = "yyyy-MM-dd HH:mm:ss";
+	final String toRetrieveDate = "2020-05-06 23:59:46.031145";
+	String toNotRetrieveDate = "2019-09-29 23:59:59.000000";
+	String lastUpdate = "2019-09-30 00:00:00";
+	String shortDate = "2020-05-06 16:06:11";
+
+//	curl -i -H "Accept: application/vnd.orcid+xml" 
+//	-H 'Authorization: Bearer 78fdb232-7105-4086-8570-e153f4198e3d'
+//	'https://api.orcid.org/v3.0/0000-0001-7291-3210/record'
+
+	public String testDownloadRecord(String orcidId) throws Exception {
+		try (CloseableHttpClient client = HttpClients.createDefault()) {
+			HttpGet httpGet = new HttpGet("https://api.orcid.org/v3.0/" + orcidId + "/record");
+			httpGet.addHeader("Accept", "application/vnd.orcid+xml");
+			httpGet.addHeader("Authorization", "Bearer 78fdb232-7105-4086-8570-e153f4198e3d");
+			CloseableHttpResponse response = client.execute(httpGet);
+			if (response.getStatusLine().getStatusCode() != 200) {
+				System.out
+					.println("Downloading " + orcidId + " status code: " + response.getStatusLine().getStatusCode());
+			}
+			return IOUtils.toString(response.getEntity().getContent());
+		} catch (Throwable e) {
+			e.printStackTrace();
+		}
+		return new String("");
+	}
+
+//	@Test
+	public void testLambdaFileParser() throws Exception {
+		try (BufferedReader br = new BufferedReader(
+			new InputStreamReader(this.getClass().getResourceAsStream("last_modified.csv")))) {
+			String line;
+			int counter = 0;
+			int nReqTmp = 0;
+			long startDownload = System.currentTimeMillis();
+			long startReqTmp = System.currentTimeMillis();
+			while ((line = br.readLine()) != null) {
+				counter++;
+//		    	skip headers line
+				if (counter == 1) {
+					continue;
+				}
+				String[] values = line.split(",");
+				List<String> recordInfo = Arrays.asList(values);
+				testDownloadRecord(recordInfo.get(0));
+				long endReq = System.currentTimeMillis();
+				nReqTmp++;
+				if (nReqTmp == REQ_LIMIT) {
+					long reqSessionDuration = endReq - startReqTmp;
+					if (reqSessionDuration <= 1000) {
+						System.out
+							.println(
+								"\nreqSessionDuration: " + reqSessionDuration + " nReqTmp: " + nReqTmp + " wait ....");
+						Thread.sleep(1000 - reqSessionDuration);
+					} else {
+						nReqTmp = 0;
+						startReqTmp = System.currentTimeMillis();
+					}
+				}
+
+				if (counter > REQ_MAX_TEST) {
+					break;
+				}
+				if ((counter % RECORD_DOWNLOADED_COUNTER_LOG_INTERVAL) == 0) {
+					System.out.println("Current record downloaded: " + counter);
+				}
+			}
+			long endDownload = System.currentTimeMillis();
+			long downloadTime = endDownload - startDownload;
+			System.out.println("Download time: " + ((downloadTime / 1000) / 60) + " minutes");
+		}
+	}
+
+//	@Test
+	public void getRecordDatestamp() throws ParseException {
+		Date toRetrieveDateDt = new SimpleDateFormat(DATE_FORMAT).parse(toRetrieveDate);
+		Date toNotRetrieveDateDt = new SimpleDateFormat(DATE_FORMAT).parse(toNotRetrieveDate);
+		Date lastUpdateDt = new SimpleDateFormat(DATE_FORMAT).parse(lastUpdate);
+		assertTrue(toRetrieveDateDt.after(lastUpdateDt));
+		assertTrue(!toNotRetrieveDateDt.after(lastUpdateDt));
+	}
+
+	public void testDate(String value) throws ParseException {
+		System.out.println(value.toString());
+		if (value.length() != 19) {
+			value = value.substring(0, 19);
+		}
+		Date valueDt = new SimpleDateFormat(DATE_FORMAT).parse(value);
+		System.out.println(valueDt.toString());
+	}
+
+//	@Test
+	public void testModifiedDate() throws ParseException {
+		testDate(toRetrieveDate);
+		testDate(toNotRetrieveDate);
+		testDate(shortDate);
+	}
+
+//	@Test
+	public void testReadBase64CompressedRecord() throws Exception {
+		final String base64CompressedRecord = IOUtils
+			.toString(getClass().getResourceAsStream("0000-0001-6645-509X.compressed.base64"));
+		final String recordFromSeqFile = ArgumentApplicationParser.decompressValue(base64CompressedRecord);
+		System.out.println(recordFromSeqFile);
+		final String downloadedRecord = testDownloadRecord("0000-0001-6645-509X");
+		assertTrue(recordFromSeqFile.equals(downloadedRecord));
+	}
+}

dhp-workflows/dhp-doiboost/src/test/java/eu/dnetlib/doiboost/orcid/xml/XMLRecordParserTest.java

@@ -0,0 +1,58 @@
+
+package eu.dnetlib.doiboost.orcid.xml;
+
+import static org.junit.jupiter.api.Assertions.assertNotNull;
+
+import org.apache.commons.io.IOUtils;
+import org.junit.jupiter.api.Test;
+
+import eu.dnetlib.doiboost.orcid.model.AuthorData;
+import eu.dnetlib.doiboost.orcid.model.WorkData;
+
+public class XMLRecordParserTest {
+
+	@Test
+	public void testOrcidAuthorDataXMLParser() throws Exception {
+
+		String xml = IOUtils.toString(this.getClass().getResourceAsStream("summary_0000-0001-6828-479X.xml"));
+
+		XMLRecordParser p = new XMLRecordParser();
+
+		AuthorData authorData = p.VTDParseAuthorData(xml.getBytes());
+		assertNotNull(authorData);
+		assertNotNull(authorData.getName());
+		System.out.println("name: " + authorData.getName());
+		assertNotNull(authorData.getSurname());
+		System.out.println("surname: " + authorData.getSurname());
+	}
+
+	@Test
+	public void testOrcidXMLErrorRecordParser() throws Exception {
+
+		String xml = IOUtils.toString(this.getClass().getResourceAsStream("summary_error.xml"));
+
+		XMLRecordParser p = new XMLRecordParser();
+
+		AuthorData authorData = p.VTDParseAuthorData(xml.getBytes());
+		assertNotNull(authorData);
+		assertNotNull(authorData.getErrorCode());
+		System.out.println("error: " + authorData.getErrorCode());
+	}
+
+	@Test
+	public void testOrcidWorkDataXMLParser() throws Exception {
+
+		String xml = IOUtils
+			.toString(
+				this.getClass().getResourceAsStream("activity_work_0000-0002-5982-8983.xml"));
+
+		XMLRecordParser p = new XMLRecordParser();
+
+		WorkData workData = p.VTDParseWorkData(xml.getBytes());
+		assertNotNull(workData);
+		assertNotNull(workData.getOid());
+		System.out.println("oid: " + workData.getOid());
+		assertNotNull(workData.getDoi());
+		System.out.println("doi: " + workData.getDoi());
+	}
+}

dhp-workflows/dhp-doiboost/src/test/java/eu/dnetlib/doiboost/uw/UnpayWallMappingTest.scala

@@ -0,0 +1,49 @@
+package eu.dnetlib.doiboost.uw
+
+import org.codehaus.jackson.map.{ObjectMapper, SerializationConfig}
+import org.junit.jupiter.api.Test
+
+import scala.io.Source
+import org.junit.jupiter.api.Assertions._
+import org.slf4j.{Logger, LoggerFactory}
+
+class UnpayWallMappingTest {
+
+  val logger: Logger = LoggerFactory.getLogger(getClass)
+  val mapper = new ObjectMapper()
+
+
+  @Test
+  def testMappingToOAF():Unit ={
+
+    val Ilist = Source.fromInputStream(getClass.getResourceAsStream("input.json")).mkString
+
+
+    for (line <-Ilist.lines) {
+
+
+      val p = UnpayWallToOAF.convertToOAF(line)
+
+      if(p!= null) {
+        assertTrue(p.getPid.size()==1)
+        logger.info(p.getId)
+      }
+      assertNotNull(line)
+      assertTrue(line.nonEmpty)
+    }
+    mapper.getSerializationConfig.enable(SerializationConfig.Feature.INDENT_OUTPUT)
+
+
+     val l = Ilist.lines.next()
+
+    logger.info(mapper.writeValueAsString(UnpayWallToOAF.convertToOAF(l)))
+
+
+
+
+
+
+
+  }
+
+}

dhp-workflows/dhp-doiboost/src/test/resources/eu/dnetlib/doiboost/crossref/article.json

@@ -0,0 +1,175 @@
+{
+  "DOI": "10.26850/1678-4618eqj.v35.1.2010.p41-46",
+  "issued": {
+    "date-parts": [
+      [
+        2018,
+        1,
+        15
+      ]
+    ]
+  },
+  "abstract": "<jats:p>A qualitative spot-test and tandem quantitative analysis of dipyrone in the bulk drugand in pharmaceutical preparations is proposed. The formation of a reddish-violet\u00a0 color indicates a positive result. In sequence a quantitative procedure can be performed in the same flask. The quantitative results obtained were statistically compared with those obtained with the method indicated by the Brazilian\u00a0 Pharmacopoeia, using the Student\u2019s t and the F tests. Considering the concentration in a 100 \u03bcL aliquot, the qualitative visual limit of detection is about 5\u00d710-6 g; instrumental LOD \u2245 1.4\u00d710-4 mol L-1 ; LOQ \u2245 4.5\u00d710-4 mol L-1.</jats:p>",
+  "prefix": "10.26850",
+  "author": [
+    {
+      "authenticated-orcid": false,
+      "given": "Matthieu",
+      "family": "Tubino",
+      "sequence": "first",
+      "affiliation": [],
+      "ORCID": "http://orcid.org/0000-0002-1987-3907"
+    },
+    {
+      "affiliation": [],
+      "given": "A. C.",
+      "family": "Biondo",
+      "sequence": "additional"
+    },
+    {
+      "authenticated-orcid": false,
+      "given": "Marta Maria Duarte Carvalho",
+      "family": "Vila",
+      "sequence": "additional",
+      "affiliation": [],
+      "ORCID": "http://orcid.org/0000-0002-0198-7076"
+    },
+    {
+      "authenticated-orcid": false,
+      "given": "Leonardo",
+      "family": "Pezza",
+      "sequence": "additional",
+      "affiliation": [],
+      "ORCID": "http://orcid.org/0000-0003-0197-7369"
+    },
+    {
+      "authenticated-orcid": false,
+      "given": "Helena Redigolo",
+      "family": "Pezza",
+      "sequence": "additional",
+      "affiliation": [],
+      "ORCID": "http://orcid.org/0000-0001-5564-1639"
+    }
+  ],
+  "reference-count": 0,
+  "ISSN": [
+    "1678-4618"
+  ],
+  "member": "11395",
+  "source": "Crossref",
+  "score": 1.0,
+  "deposited": {
+    "timestamp": 1540823529000,
+    "date-time": "2018-10-29T14:32:09Z",
+    "date-parts": [
+      [
+        2018,
+        10,
+        29
+      ]
+    ]
+  },
+  "indexed": {
+    "timestamp": 1540825815212,
+    "date-time": "2018-10-29T15:10:15Z",
+    "date-parts": [
+      [
+        2018,
+        10,
+        29
+      ]
+    ]
+  },
+  "type": "journal-article",
+  "published-online": {
+    "date-parts": [
+      [
+        2018,
+        1,
+        15
+      ]
+    ]
+  },
+  "URL": "http://dx.doi.org/10.26850/1678-4618eqj.v35.1.2010.p41-46",
+  "is-referenced-by-count": 0,
+  "volume": "35",
+  "issn-type": [
+    {
+      "type": "electronic",
+      "value": "1678-4618"
+    }
+  ],
+  "link": [
+    {
+      "URL": "http://revista.iq.unesp.br/ojs/index.php/ecletica/article/viewFile/191/149",
+      "intended-application": "text-mining",
+      "content-version": "vor",
+      "content-type": "application/pdf"
+    },
+    {
+      "URL": "http://revista.iq.unesp.br/ojs/index.php/ecletica/article/viewFile/191/149",
+      "intended-application": "similarity-checking",
+      "content-version": "vor",
+      "content-type": "unspecified"
+    }
+  ],
+  "journal-issue": {
+    "issue": "1",
+    "published-online": {
+      "date-parts": [
+        [
+          2018,
+          1,
+          15
+        ]
+      ]
+    }
+  },
+  "references-count": 0,
+  "short-container-title": [
+    "Eclet. Quim. J."
+  ],
+  "publisher": "Ecletica Quimica Journal",
+  "content-domain": {
+    "domain": [],
+    "crossmark-restriction": false
+  },
+  "license": [
+    {
+      "URL": "http://creativecommons.org/licenses/by/4.0",
+      "start": {
+        "timestamp": 1515974400000,
+        "date-time": "2018-01-15T00:00:00Z",
+        "date-parts": [
+          [
+            2018,
+            1,
+            15
+          ]
+        ]
+      },
+      "content-version": "unspecified",
+      "delay-in-days": 0
+    }
+  ],
+  "created": {
+    "timestamp": 1517590842000,
+    "date-time": "2018-02-02T17:00:42Z",
+    "date-parts": [
+      [
+        2018,
+        2,
+        2
+      ]
+    ]
+  },
+  "issue": "1",
+  "title": [
+    "Spot-test identification and rapid quantitative sequential analys is of dipyrone"
+  ],
+  "container-title": [
+    "Ecl\u00e9tica Qu\u00edmica Journal"
+  ],
+  "page": "41-50",
+  "funder": [{"DOI": "10.13039/100010663","name": "H2020 European Research Council","doi-asserted-by": "publisher","award": ["677749"]}]
+}

dhp-workflows/dhp-doiboost/src/test/resources/eu/dnetlib/doiboost/crossref/article_funder_template.json

@@ -0,0 +1,175 @@
+{
+  "DOI": "10.26850/1678-4618eqj.v35.1.2010.p41-46",
+  "issued": {
+    "date-parts": [
+      [
+        2018,
+        1,
+        15
+      ]
+    ]
+  },
+  "abstract": "<jats:p>A qualitative spot-test and tandem quantitative analysis of dipyrone in the bulk drugand in pharmaceutical preparations is proposed. The formation of a reddish-violet\u00a0 color indicates a positive result. In sequence a quantitative procedure can be performed in the same flask. The quantitative results obtained were statistically compared with those obtained with the method indicated by the Brazilian\u00a0 Pharmacopoeia, using the Student\u2019s t and the F tests. Considering the concentration in a 100 \u03bcL aliquot, the qualitative visual limit of detection is about 5\u00d710-6 g; instrumental LOD \u2245 1.4\u00d710-4 mol L-1 ; LOQ \u2245 4.5\u00d710-4 mol L-1.</jats:p>",
+  "prefix": "10.26850",
+  "author": [
+    {
+      "authenticated-orcid": false,
+      "given": "Matthieu",
+      "family": "Tubino",
+      "sequence": "first",
+      "affiliation": [],
+      "ORCID": "http://orcid.org/0000-0002-1987-3907"
+    },
+    {
+      "affiliation": [],
+      "given": "A. C.",
+      "family": "Biondo",
+      "sequence": "additional"
+    },
+    {
+      "authenticated-orcid": false,
+      "given": "Marta Maria Duarte Carvalho",
+      "family": "Vila",
+      "sequence": "additional",
+      "affiliation": [],
+      "ORCID": "http://orcid.org/0000-0002-0198-7076"
+    },
+    {
+      "authenticated-orcid": false,
+      "given": "Leonardo",
+      "family": "Pezza",
+      "sequence": "additional",
+      "affiliation": [],
+      "ORCID": "http://orcid.org/0000-0003-0197-7369"
+    },
+    {
+      "authenticated-orcid": false,
+      "given": "Helena Redigolo",
+      "family": "Pezza",
+      "sequence": "additional",
+      "affiliation": [],
+      "ORCID": "http://orcid.org/0000-0001-5564-1639"
+    }
+  ],
+  "reference-count": 0,
+  "ISSN": [
+    "1678-4618"
+  ],
+  "member": "11395",
+  "source": "Crossref",
+  "score": 1.0,
+  "deposited": {
+    "timestamp": 1540823529000,
+    "date-time": "2018-10-29T14:32:09Z",
+    "date-parts": [
+      [
+        2018,
+        10,
+        29
+      ]
+    ]
+  },
+  "indexed": {
+    "timestamp": 1540825815212,
+    "date-time": "2018-10-29T15:10:15Z",
+    "date-parts": [
+      [
+        2018,
+        10,
+        29
+      ]
+    ]
+  },
+  "type": "journal-article",
+  "published-online": {
+    "date-parts": [
+      [
+        2018,
+        1,
+        15
+      ]
+    ]
+  },
+  "URL": "http://dx.doi.org/10.26850/1678-4618eqj.v35.1.2010.p41-46",
+  "is-referenced-by-count": 0,
+  "volume": "35",
+  "issn-type": [
+    {
+      "type": "electronic",
+      "value": "1678-4618"
+    }
+  ],
+  "link": [
+    {
+      "URL": "http://revista.iq.unesp.br/ojs/index.php/ecletica/article/viewFile/191/149",
+      "intended-application": "text-mining",
+      "content-version": "vor",
+      "content-type": "application/pdf"
+    },
+    {
+      "URL": "http://revista.iq.unesp.br/ojs/index.php/ecletica/article/viewFile/191/149",
+      "intended-application": "similarity-checking",
+      "content-version": "vor",
+      "content-type": "unspecified"
+    }
+  ],
+  "journal-issue": {
+    "issue": "1",
+    "published-online": {
+      "date-parts": [
+        [
+          2018,
+          1,
+          15
+        ]
+      ]
+    }
+  },
+  "references-count": 0,
+  "short-container-title": [
+    "Eclet. Quim. J."
+  ],
+  "publisher": "Ecletica Quimica Journal",
+  "content-domain": {
+    "domain": [],
+    "crossmark-restriction": false
+  },
+  "license": [
+    {
+      "URL": "http://creativecommons.org/licenses/by/4.0",
+      "start": {
+        "timestamp": 1515974400000,
+        "date-time": "2018-01-15T00:00:00Z",
+        "date-parts": [
+          [
+            2018,
+            1,
+            15
+          ]
+        ]
+      },
+      "content-version": "unspecified",
+      "delay-in-days": 0
+    }
+  ],
+  "created": {
+    "timestamp": 1517590842000,
+    "date-time": "2018-02-02T17:00:42Z",
+    "date-parts": [
+      [
+        2018,
+        2,
+        2
+      ]
+    ]
+  },
+  "issue": "1",
+  "title": [
+    "Spot-test identification and rapid quantitative sequential analys is of dipyrone"
+  ],
+  "container-title": [
+    "Ecl\u00e9tica Qu\u00edmica Journal"
+  ],
+  %s
+  "page": "41-50"
+}

dhp-workflows/dhp-doiboost/src/test/resources/eu/dnetlib/doiboost/crossref/awardTest.json

@@ -0,0 +1,193 @@
+{
+  "DOI": "10.1016/j.infbeh.2016.11.001",
+  "issued": {
+    "date-parts": [
+      [
+        2017,
+        8
+      ]
+    ]
+  },
+  "update-policy": "http://dx.doi.org/10.1016/elsevier_cm_policy",
+  "prefix": "10.1016",
+  "subject": [
+    "Developmental and Educational Psychology"
+  ],
+  "author": [
+    {
+      "affiliation": [],
+      "given": "Dora",
+      "family": "Kampis",
+      "sequence": "first"
+    },
+    {
+      "affiliation": [],
+      "given": "D\u00f3ra",
+      "family": "Fogd",
+      "sequence": "additional"
+    },
+    {
+      "affiliation": [],
+      "given": "\u00c1gnes Melinda",
+      "family": "Kov\u00e1cs",
+      "sequence": "additional"
+    }
+  ],
+  "reference-count": 109,
+  "ISSN": [
+    "0163-6383"
+  ],
+  "assertion": [
+    {
+      "name": "publisher",
+      "value": "Elsevier",
+      "label": "This article is maintained by"
+    },
+    {
+      "name": "articletitle",
+      "value": "Nonverbal components of Theory of Mind in typical and atypical development",
+      "label": "Article Title"
+    },
+    {
+      "name": "journaltitle",
+      "value": "Infant Behavior and Development",
+      "label": "Journal Title"
+    },
+    {
+      "name": "articlelink",
+      "value": "https://doi.org/10.1016/j.infbeh.2016.11.001",
+      "label": "CrossRef DOI link to publisher maintained version"
+    },
+    {
+      "name": "content_type",
+      "value": "article",
+      "label": "Content Type"
+    },
+    {
+      "name": "copyright",
+      "value": "\u00a9 2016 Elsevier Inc. All rights reserved.",
+      "label": "Copyright"
+    }
+  ],
+  "member": "78",
+  "source": "Crossref",
+  "score": 1.0,
+  "deposited": {
+    "timestamp": 1565383284000,
+    "date-parts": [
+      [
+        2019,
+        8,
+        9
+      ]
+    ],
+    "date-time": "2019-08-09T20:41:24Z"
+  },
+  "indexed": {
+    "timestamp": 1565385055278,
+    "date-parts": [
+      [
+        2019,
+        8,
+        9
+      ]
+    ],
+    "date-time": "2019-08-09T21:10:55Z"
+  },
+  "type": "journal-article",
+  "URL": "http://dx.doi.org/10.1016/j.infbeh.2016.11.001",
+  "is-referenced-by-count": 1,
+  "volume": "48",
+  "issn-type": [
+    {
+      "type": "print",
+      "value": "0163-6383"
+    }
+  ],
+  "link": [
+    {
+      "URL": "https://api.elsevier.com/content/article/PII:S0163638315300059?httpAccept=text/xml",
+      "intended-application": "text-mining",
+      "content-version": "vor",
+      "content-type": "text/xml"
+    },
+    {
+      "URL": "https://api.elsevier.com/content/article/PII:S0163638315300059?httpAccept=text/plain",
+      "intended-application": "text-mining",
+      "content-version": "vor",
+      "content-type": "text/plain"
+    }
+  ],
+  "published-print": {
+    "date-parts": [
+      [
+        2017,
+        8
+      ]
+    ]
+  },
+  "references-count": 109,
+  "short-container-title": [
+    "Infant Behavior and Development"
+  ],
+  "publisher": "Elsevier BV",
+  "content-domain": {
+    "domain": [
+      "elsevier.com",
+      "sciencedirect.com"
+    ],
+    "crossmark-restriction": true
+  },
+  "license": [
+    {
+      "URL": "https://www.elsevier.com/tdm/userlicense/1.0/",
+      "start": {
+        "timestamp": 1501545600000,
+        "date-parts": [
+          [
+            2017,
+            8,
+            1
+          ]
+        ],
+        "date-time": "2017-08-01T00:00:00Z"
+      },
+      "content-version": "tdm",
+      "delay-in-days": 0
+    }
+  ],
+  "language": "en",
+  "created": {
+    "timestamp": 1479142046000,
+    "date-parts": [
+      [
+        2016,
+        11,
+        14
+      ]
+    ],
+    "date-time": "2016-11-14T16:47:26Z"
+  },
+  "title": [
+    "Nonverbal components of Theory of Mind in typical and atypical development"
+  ],
+  "alternative-id": [
+    "S0163638315300059"
+  ],
+  "container-title": [
+    "Infant Behavior and Development"
+  ],
+  "funder": [
+    {
+      "DOI": "10.13039/501100001711",
+      "name": "Swiss National Science Foundation (Schweizerische Nationalfonds)",
+      "doi-asserted-by": "publisher",
+      "award": [
+        "CR32I3_156724",
+        "31003A_173281/1",
+        "200021_165850"
+      ]
+    }
+  ],
+  "page": "54-62"
+}

dhp-workflows/dhp-doiboost/src/test/resources/eu/dnetlib/doiboost/crossref/book.json

@@ -0,0 +1,104 @@
+{
+  "DOI": "10.17848/9780880992299.vol1ch4",
+  "ISBN": [
+    "9780880992299"
+  ],
+  "issued": {
+    "date-parts": [
+      [
+        2001,
+        12,
+        1
+      ]
+    ]
+  },
+  "prefix": "10.17848",
+  "author": [
+    {
+      "affiliation": [
+      ],
+      "given": "William E.",
+      "family": "Even",
+      "authenticated-orcid": false
+    },
+    {
+      "affiliation": [
+      ],
+      "given": "David A.",
+      "family": "Macpherson"
+    }
+  ],
+  "reference-count": 0,
+  "member": "7312",
+  "source": "Crossref",
+  "score": 1.0,
+  "deposited": {
+    "timestamp": 1461687244000,
+    "date-parts": [
+      [
+        2016,
+        4,
+        26
+      ]
+    ],
+    "date-time": "2016-04-26T16:14:04Z"
+  },
+  "indexed": {
+    "timestamp": 1502548826285,
+    "date-parts": [
+      [
+        2017,
+        8,
+        12
+      ]
+    ],
+    "date-time": "2017-08-12T14:40:26Z"
+  },
+  "type": "book-chapter",
+  "published-online": {
+    "date-parts": [
+      [
+        2010,
+        5,
+        27
+      ]
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dhp-workflows/dhp-doiboost/src/test/resources/log4j.properties

@@ -0,0 +1,11 @@
+# Set root logger level to DEBUG and its only appender to A1.
+log4j.rootLogger=INFO, A1
+
+# A1 is set to be a ConsoleAppender.
+log4j.appender.A1=org.apache.log4j.ConsoleAppender
+
+# A1 uses PatternLayout.
+log4j.logger.org = ERROR
+log4j.logger.eu.dnetlib = DEBUG
+log4j.appender.A1.layout=org.apache.log4j.PatternLayout
+log4j.appender.A1.layout.ConversionPattern=%-4r [%t] %-5p %c %x - %m%n