mergin with branch beta

dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/collection/CollectionUtils.scala

@@ -1,7 +1,9 @@
 package eu.dnetlib.dhp.collection
 
+import com.fasterxml.jackson.databind.ObjectMapper
 import eu.dnetlib.dhp.schema.common.ModelSupport
 import eu.dnetlib.dhp.schema.oaf.{Oaf, OafEntity, Relation}
+import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode}
 
 object CollectionUtils {
 
@@ -46,4 +48,18 @@ object CollectionUtils {
     List()
   }
 
+  def saveDataset(dataset: Dataset[Oaf], targetPath: String): Unit = {
+    implicit val resultEncoder: Encoder[Oaf] = Encoders.kryo(classOf[Oaf])
+    val mapper = new ObjectMapper
+
+    dataset
+      .flatMap(i => CollectionUtils.fixRelations(i))
+      .filter(i => i != null)
+      .map(r => mapper.writeValueAsString(r))(Encoders.STRING)
+      .write
+      .mode(SaveMode.Overwrite)
+      .option("compression", "gzip")
+      .text(targetPath)
+  }
+
 }

dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/datacite/GenerateDataciteDatasetSpark.scala

@@ -2,14 +2,14 @@ package eu.dnetlib.dhp.datacite
 
 import com.fasterxml.jackson.databind.ObjectMapper
 import eu.dnetlib.dhp.application.AbstractScalaApplication
-import eu.dnetlib.dhp.collection.CollectionUtils.fixRelations
+import eu.dnetlib.dhp.collection.CollectionUtils
 import eu.dnetlib.dhp.common.Constants.{MDSTORE_DATA_PATH, MDSTORE_SIZE_PATH}
 import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup
 import eu.dnetlib.dhp.schema.mdstore.{MDStoreVersion, MetadataRecord}
 import eu.dnetlib.dhp.schema.oaf.Oaf
 import eu.dnetlib.dhp.utils.DHPUtils.writeHdfsFile
 import eu.dnetlib.dhp.utils.ISLookupClientFactory
-import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession}
+import org.apache.spark.sql.{Encoder, Encoders, SparkSession}
 import org.slf4j.{Logger, LoggerFactory}
 
 
@@ -38,7 +38,7 @@ class GenerateDataciteDatasetSpark (propertyPath:String, args:Array[String], log
     val cleanedMdStoreVersion = mapper.readValue(mdstoreOutputVersion, classOf[MDStoreVersion])
     val outputBasePath = cleanedMdStoreVersion.getHdfsPath
     log.info(s"outputBasePath is '$outputBasePath'")
-    val targetPath = s"$outputBasePath/$MDSTORE_DATA_PATH"
+    val targetPath = s"$outputBasePath$MDSTORE_DATA_PATH"
     log.info(s"targetPath is '$targetPath'")
 
     generateDataciteDataset(sourcePath, exportLinks, vocabularies, targetPath, spark)
@@ -54,7 +54,7 @@ class GenerateDataciteDatasetSpark (propertyPath:String, args:Array[String], log
    * @param outputBasePath
    */
   def reportTotalSize( targetPath: String, outputBasePath: String ):Unit = {
-    val total_items = spark.read.load(targetPath).count()
+    val total_items = spark.read.text(targetPath).count()
     writeHdfsFile(spark.sparkContext.hadoopConfiguration, s"$total_items", outputBasePath + MDSTORE_SIZE_PATH)
   }
 
@@ -73,12 +73,12 @@ class GenerateDataciteDatasetSpark (propertyPath:String, args:Array[String], log
     implicit val mrEncoder: Encoder[MetadataRecord] = Encoders.kryo[MetadataRecord]
 
     implicit val resEncoder: Encoder[Oaf] = Encoders.kryo[Oaf]
-    spark.read.load(sourcePath).as[DataciteType]
+    CollectionUtils.saveDataset(
-      .filter(d => d.isActive)
+      spark.read.load(sourcePath).as[DataciteType]
-      .flatMap(d => DataciteToOAFTransformation.generateOAF(d.json, d.timestamp, d.timestamp, vocabularies, exportLinks))
+        .filter(d => d.isActive)
-      .filter(d => d != null)
+        .flatMap(d => DataciteToOAFTransformation.generateOAF(d.json, d.timestamp, d.timestamp, vocabularies, exportLinks))
-      .flatMap(i => fixRelations(i)).filter(i => i != null)
+        .filter(d => d != null),
-      .write.mode(SaveMode.Overwrite).save(targetPath)
+      targetPath)
   }
 
 }

dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/SparkTransformBioDatabaseToOAF.scala

@@ -6,7 +6,7 @@ import eu.dnetlib.dhp.schema.oaf.Oaf
 import eu.dnetlib.dhp.sx.bio.BioDBToOAF.ScholixResolved
 import org.apache.commons.io.IOUtils
 import org.apache.spark.SparkConf
-import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession}
+import org.apache.spark.sql.{Encoder, Encoders, SparkSession}
 import org.slf4j.{Logger, LoggerFactory}
 
 object SparkTransformBioDatabaseToOAF {
@@ -36,13 +36,13 @@ object SparkTransformBioDatabaseToOAF {
     import spark.implicits._
     database.toUpperCase() match {
       case "UNIPROT" =>
-        spark.createDataset(sc.textFile(dbPath).flatMap(i => BioDBToOAF.uniprotToOAF(i))).flatMap(i => CollectionUtils.fixRelations(i)).filter(i => i != null).write.mode(SaveMode.Overwrite).save(targetPath)
+        CollectionUtils.saveDataset(spark.createDataset(sc.textFile(dbPath).flatMap(i => BioDBToOAF.uniprotToOAF(i))), targetPath)
       case "PDB" =>
-        spark.createDataset(sc.textFile(dbPath).flatMap(i => BioDBToOAF.pdbTOOaf(i))).flatMap(i => CollectionUtils.fixRelations(i)).filter(i => i != null).write.mode(SaveMode.Overwrite).save(targetPath)
+        CollectionUtils.saveDataset(spark.createDataset(sc.textFile(dbPath).flatMap(i => BioDBToOAF.pdbTOOaf(i))), targetPath)
       case "SCHOLIX" =>
-        spark.read.load(dbPath).as[ScholixResolved].map(i => BioDBToOAF.scholixResolvedToOAF(i)).flatMap(i => CollectionUtils.fixRelations(i)).filter(i => i != null).write.mode(SaveMode.Overwrite).save(targetPath)
+        CollectionUtils.saveDataset(spark.read.load(dbPath).as[ScholixResolved].map(i => BioDBToOAF.scholixResolvedToOAF(i)), targetPath)
       case "CROSSREF_LINKS" =>
-        spark.createDataset(sc.textFile(dbPath).map(i => BioDBToOAF.crossrefLinksToOaf(i))).flatMap(i => CollectionUtils.fixRelations(i)).filter(i => i != null).write.mode(SaveMode.Overwrite).save(targetPath)
+        CollectionUtils.saveDataset(spark.createDataset(sc.textFile(dbPath).map(i => BioDBToOAF.crossrefLinksToOaf(i))), targetPath)
     }
   }
 

dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/ebi/SparkCreateBaselineDataFrame.scala

@@ -1,8 +1,9 @@
 package eu.dnetlib.dhp.sx.bio.ebi
 
 import eu.dnetlib.dhp.application.ArgumentApplicationParser
+import eu.dnetlib.dhp.collection.CollectionUtils
 import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup
-import eu.dnetlib.dhp.schema.oaf.Result
+import eu.dnetlib.dhp.schema.oaf.{Oaf, Result}
 import eu.dnetlib.dhp.sx.bio.pubmed._
 import eu.dnetlib.dhp.utils.ISLookupClientFactory
 import org.apache.commons.io.IOUtils
@@ -177,7 +178,7 @@ object SparkCreateBaselineDataFrame {
     implicit val PMEncoder: Encoder[PMArticle] = Encoders.kryo(classOf[PMArticle])
     implicit val PMJEncoder: Encoder[PMJournal] = Encoders.kryo(classOf[PMJournal])
     implicit val PMAEncoder: Encoder[PMAuthor] = Encoders.kryo(classOf[PMAuthor])
-    implicit val resultEncoder: Encoder[Result] = Encoders.kryo(classOf[Result])
+    implicit val resultEncoder: Encoder[Oaf] = Encoders.kryo(classOf[Oaf])
 
     if (!"true".equalsIgnoreCase(skipUpdate)) {
       downloadBaseLineUpdate(s"$workingPath/baseline", hdfsServerUri)
@@ -192,9 +193,10 @@ object SparkCreateBaselineDataFrame {
     }
 
     val exported_dataset = spark.read.load(s"$workingPath/baseline_dataset").as[PMArticle]
-    exported_dataset
+    CollectionUtils.saveDataset(exported_dataset
-      .map(a => PubMedToOaf.convert(a, vocabularies)).as[Result]
+      .map(a => PubMedToOaf.convert(a, vocabularies)).as[Oaf]
-      .filter(p => p != null)
+      .filter(p => p != null),
-      .write.mode(SaveMode.Overwrite).save(targetPath)
+      targetPath)
+
   }
 }

dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/ebi/SparkEBILinksToOaf.scala

@@ -34,10 +34,9 @@ object SparkEBILinksToOaf {
 
     val ebLinks: Dataset[EBILinkItem] = spark.read.load(sourcePath).as[EBILinkItem].filter(l => l.links != null && l.links.startsWith("{"))
 
-    ebLinks.flatMap(j => BioDBToOAF.parse_ebi_links(j.links))
+    CollectionUtils.saveDataset(ebLinks.flatMap(j => BioDBToOAF.parse_ebi_links(j.links))
       .filter(p => BioDBToOAF.EBITargetLinksFilter(p))
-      .flatMap(p => BioDBToOAF.convertEBILinksToOaf(p))
+      .flatMap(p => BioDBToOAF.convertEBILinksToOaf(p)),
-      .flatMap(i => CollectionUtils.fixRelations(i)).filter(i => i != null)
+      targetPath)
-      .write.mode(SaveMode.Overwrite).save(targetPath)
   }
 }

dhp-workflows/dhp-aggregation/src/main/scala/eu/dnetlib/dhp/sx/bio/pubmed/PubMedToOaf.scala

@@ -109,7 +109,7 @@ object PubMedToOaf {
    * @param vocabularies the vocabularies
    * @return The OAF instance if the mapping did not fail
    */
-  def convert(article: PMArticle, vocabularies: VocabularyGroup): Result = {
+  def convert(article: PMArticle, vocabularies: VocabularyGroup): Oaf = {
 
     if (article.getPublicationTypes == null)
       return null

dhp-workflows/dhp-graph-mapper/src/main/scala/eu/dnetlib/dhp/oa/graph/raw/CopyHdfsOafSparkApplication.scala

@@ -1,6 +1,6 @@
 package eu.dnetlib.dhp.oa.graph.raw
 
-import com.fasterxml.jackson.databind.ObjectMapper
+import com.fasterxml.jackson.databind.{DeserializationFeature, ObjectMapper}
 import eu.dnetlib.dhp.application.ArgumentApplicationParser
 import eu.dnetlib.dhp.common.HdfsSupport
 import eu.dnetlib.dhp.schema.common.ModelSupport
@@ -8,7 +8,10 @@ import eu.dnetlib.dhp.schema.oaf.Oaf
 import eu.dnetlib.dhp.utils.DHPUtils
 import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession}
 import org.apache.spark.{SparkConf, SparkContext}
+import org.json4s.DefaultFormats
+import org.json4s.jackson.JsonMethods.parse
 import org.slf4j.LoggerFactory
+
 import scala.collection.JavaConverters._
 import scala.io.Source
 
@@ -50,19 +53,39 @@ object CopyHdfsOafSparkApplication {
 
     val validPaths: List[String] = paths.filter(p => HdfsSupport.exists(p, sc.hadoopConfiguration)).toList
 
+    val types = ModelSupport.oafTypes.entrySet
+      .asScala
+      .map(e => Tuple2(e.getKey, e.getValue))
+
     if (validPaths.nonEmpty) {
-      val oaf = spark.read.load(validPaths: _*).as[Oaf]
+      val oaf = spark.read.textFile(validPaths: _*)
-      val mapper = new ObjectMapper()
+      val mapper = new ObjectMapper().configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false)
-      val l = ModelSupport.oafTypes.entrySet.asScala.map(e => e.getKey).toList
+
-      l.foreach(
+      types.foreach(t => oaf
-        e =>
+          .filter(o => isOafType(o, t._1))
-          oaf.filter(o => o.getClass.getSimpleName.equalsIgnoreCase(e))
+          .map(j => mapper.readValue(j, t._2).asInstanceOf[Oaf])
-            .map(s => mapper.writeValueAsString(s))(Encoders.STRING)
+          .map(s => mapper.writeValueAsString(s))(Encoders.STRING)
-            .write
+          .write
-            .option("compression", "gzip")
+          .option("compression", "gzip")
-            .mode(SaveMode.Append)
+          .mode(SaveMode.Append)
-            .text(s"$hdfsPath/${e}")
+          .text(s"$hdfsPath/${t._1}")
       )
     }
   }
+
+  def isOafType(input: String, oafType: String): Boolean = {
+    implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
+    lazy val json: org.json4s.JValue = parse(input)
+    if (oafType == "relation") {
+      val hasSource = (json \ "source").extractOrElse[String](null)
+      val hasTarget = (json \ "target").extractOrElse[String](null)
+
+      hasSource != null && hasTarget != null
+    } else {
+      val hasId = (json \ "id").extractOrElse[String](null)
+      val resultType = (json \ "resulttype" \ "classid").extractOrElse[String](null)
+      hasId != null && oafType.equalsIgnoreCase(resultType)
+    }
+
+  }
 }

dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/raw/CopyHdfsOafSparkApplicationTest.java

@@ -0,0 +1,65 @@
+
+package eu.dnetlib.dhp.oa.graph.raw;
+
+import static org.junit.jupiter.api.Assertions.assertFalse;
+import static org.junit.jupiter.api.Assertions.assertTrue;
+
+import java.io.IOException;
+
+import org.apache.commons.io.IOUtils;
+import org.junit.jupiter.api.Test;
+
+public class CopyHdfsOafSparkApplicationTest {
+
+	@Test
+	void testIsOafType() throws IOException {
+		assertTrue(
+			CopyHdfsOafSparkApplication
+				.isOafType(
+					IOUtils
+						.toString(
+							getClass().getResourceAsStream("/eu/dnetlib/dhp/oa/graph/raw/publication_1.json")),
+					"publication"));
+		assertTrue(
+			CopyHdfsOafSparkApplication
+				.isOafType(
+					IOUtils
+						.toString(
+							getClass().getResourceAsStream("/eu/dnetlib/dhp/oa/graph/raw/dataset_1.json")),
+					"dataset"));
+		assertTrue(
+			CopyHdfsOafSparkApplication
+				.isOafType(
+					IOUtils
+						.toString(
+							getClass().getResourceAsStream("/eu/dnetlib/dhp/oa/graph/raw/relation_1.json")),
+					"relation"));
+
+		assertFalse(
+			CopyHdfsOafSparkApplication
+				.isOafType(
+					IOUtils
+						.toString(
+							getClass().getResourceAsStream("/eu/dnetlib/dhp/oa/graph/raw/publication_1.json")),
+					"dataset"));
+		assertFalse(
+			CopyHdfsOafSparkApplication
+				.isOafType(
+					IOUtils
+						.toString(
+							getClass().getResourceAsStream("/eu/dnetlib/dhp/oa/graph/raw/dataset_1.json")),
+					"publication"));
+
+		assertTrue(
+			CopyHdfsOafSparkApplication
+				.isOafType(
+					IOUtils
+						.toString(
+							getClass()
+								.getResourceAsStream(
+									"/eu/dnetlib/dhp/oa/graph/raw/publication_2_unknownProperty.json")),
+					"publication"));
+
+	}
+
+}

dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/raw/publication_1.json

@@ -0,0 +1 @@
+{"author":[{"fullname":"Makkonen, Lasse","name":"Lasse","pid":[],"rank":1,"surname":"Makkonen"}],"bestaccessright":{"classid":"RESTRICTED","classname":"Restricted","schemeid":"dnet:access_modes","schemename":"dnet:access_modes"},"collectedfrom":[{"key":"10|openaire____::4692342f0992d91f9e705c26959f09e0","value":"VTT Research Information System"}],"context":[],"contributor":[{"dataInfo":{"deletedbyinference":false,"inferenceprovenance":"","inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:repository","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.9"},"value":"Watson, Rick"}],"country":[],"coverage":[],"dataInfo":{"deletedbyinference":true,"inferenceprovenance":"","inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:repository","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.9"},"dateofacceptance":{"dataInfo":{"deletedbyinference":false,"inferenceprovenance":"","inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:repository","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.9"},"value":"1997-01-01"},"dateofcollection":"2021-10-04T12:42:57.502Z","dateoftransformation":"2021-10-04T15:32:51.877Z","description":[],"externalReference":[],"extraInfo":[],"format":[],"fulltext":[],"id":"50|355e65625b88::0b579a3501cf87921448e0a1c7fc8353","instance":[{"accessright":{"classid":"RESTRICTED","classname":"Restricted","schemeid":"dnet:access_modes","schemename":"dnet:access_modes"},"alternateIdentifier":[],"collectedfrom":{"key":"10|openaire____::4692342f0992d91f9e705c26959f09e0","value":"VTT Research Information System"},"dateofacceptance":{"dataInfo":{"deletedbyinference":false,"inferenceprovenance":"","inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:repository","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.9"},"value":"1997-01-01"},"distributionlocation":"","hostedby":{"key":"10|openaire____::4692342f0992d91f9e705c26959f09e0","value":"VTT Research Information System"},"instancetype":{"classid":"0005","classname":"Contribution for newspaper or weekly magazine","schemeid":"dnet:publication_resource","schemename":"dnet:publication_resource"},"pid":[],"refereed":{"classid":"0000","classname":"Unknown","schemeid":"dnet:review_levels","schemename":"dnet:review_levels"},"url":["https://cris.vtt.fi/en/publications/5a6fbe30-2096-4106-96f4-ed36620d3f73"]}],"language":{"classid":"eng","classname":"English","schemeid":"dnet:languages","schemename":"dnet:languages"},"lastupdatetimestamp":1635433424020,"oaiprovenance":{"originDescription":{"altered":true,"baseURL":"https%3A%2F%2Fcris.vtt.fi%2Fws%2Foai","datestamp":"2020-10-26T12:07:44Z","harvestDate":"2021-10-04T12:42:57.502Z","identifier":"oai:cris.vtt.fi:publications/5a6fbe30-2096-4106-96f4-ed36620d3f73","metadataNamespace":"http://www.openarchives.org/OAI/2.0/oai_dc/"}},"originalId":["50|355e65625b88::0b579a3501cf87921448e0a1c7fc8353","oai:cris.vtt.fi:publications/5a6fbe30-2096-4106-96f4-ed36620d3f73"],"pid":[],"publisher":{"dataInfo":{"deletedbyinference":false,"inferenceprovenance":"","inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:repository","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.9"},"value":"Irish Wind Energy Association"},"relevantdate":[],"resourcetype":{"classid":"UNKNOWN","classname":"Unknown","schemeid":"dnet:dataCite_resource","schemename":"dnet:dataCite_resource"},"resulttype":{"classid":"publication","classname":"publication","schemeid":"dnet:result_typologies","schemename":"dnet:result_typologies"},"source":[{"dataInfo":{"deletedbyinference":false,"inferenceprovenance":"","inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:repository","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.9"},"value":"Makkonen , L 1997 , Calculation of ice accretion on wind turbine blades . in R Watson (ed.) , EWEC '97: European Wind Energy Conference : Proceedings of the international conference . Irish Wind Energy Association , Slane , European Wind Energy Conference EWEC '97 , Dublin , Ireland , 6/10/97 ."}],"subject":[],"title":[{"dataInfo":{"deletedbyinference":false,"inferenceprovenance":"","inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:repository","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.9"},"qualifier":{"classid":"main title","classname":"main title","schemeid":"dnet:dataCite_title","schemename":"dnet:dataCite_title"},"value":"Calculation of ice accretion on wind turbine blades"}]}

dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/raw/publication_2_unknownProperty.json

@@ -0,0 +1 @@
+{"id":"50|355e65625b88::0b579a3501cf87921448e0a1c7fc8353", "resulttype":{"classid":"publication","classname":"publication","schemeid":"dnet:result_typologies","schemename":"dnet:result_typologies"}, "unknownProperty": "asdasd"}

dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/raw/relation_1.json

@@ -0,0 +1,6 @@
+{"source":"1a","target":"10a","collectedfrom":[{"key":"10|driver______::bee53aa31dc2cbb538c10c2b65fa5824","value":"DOAJ-Articles","dataInfo":null}],"dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"0.900","inferenceprovenance":null,"provenanceaction":{"classid":"sysimport:crosswalk:entityregistry","classname":"sysimport:crosswalk:entityregistry","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"}},"lastupdatetimestamp":1626336932282,"relType":"datasourceOrganization","subRelType":"provision","relClass":"provides","validated":false,"validationDate":null,"properties":[]}
+{"source":"10a","target":"1a","collectedfrom":[{"key":"10|driver______::bee53aa31dc2cbb538c10c2b65fa5824","value":"DOAJ-Articles","dataInfo":null}],"dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"0.900","inferenceprovenance":null,"provenanceaction":{"classid":"sysimport:crosswalk:entityregistry","classname":"sysimport:crosswalk:entityregistry","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"}},"lastupdatetimestamp":1626336932282,"relType":"datasourceOrganization","subRelType":"provision","relClass":"provides","validated":false,"validationDate":null,"properties":[]}
+{"source":"2a","target":"20a","collectedfrom":[{"key":"10|driver______::bee53aa31dc2cbb538c10c2b65fa5824","value":"DOAJ-Articles","dataInfo":null}],"dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"0.900","inferenceprovenance":null,"provenanceaction":{"classid":"sysimport:crosswalk:entityregistry","classname":"sysimport:crosswalk:entityregistry","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"}},"lastupdatetimestamp":1626336932282,"relType":"datasourceOrganization","subRelType":"provision","relClass":"provides","validated":false,"validationDate":null,"properties":[]}
+{"source":"20a","target":"2a","collectedfrom":[{"key":"10|driver______::bee53aa31dc2cbb538c10c2b65fa5824","value":"DOAJ-Articles","dataInfo":null}],"dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"0.900","inferenceprovenance":null,"provenanceaction":{"classid":"sysimport:crosswalk:entityregistry","classname":"sysimport:crosswalk:entityregistry","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"}},"lastupdatetimestamp":1626336932282,"relType":"datasourceOrganization","subRelType":"provision","relClass":"provides","validated":false,"validationDate":null,"properties":[]}
+{"source":"15a","target":"25a","collectedfrom":[{"key":"10|driver______::bee53aa31dc2cbb538c10c2b65fa5824","value":"DOAJ-Articles","dataInfo":null}],"dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"0.900","inferenceprovenance":null,"provenanceaction":{"classid":"sysimport:crosswalk:entityregistry","classname":"sysimport:crosswalk:entityregistry","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"}},"lastupdatetimestamp":1626336932282,"relType":"datasourceOrganization","subRelType":"provision","relClass":"provides","validated":false,"validationDate":null,"properties":[]}
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