diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkPrepareHostedByInfoToApply.scala b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkPrepareHostedByInfoToApply.scala
index 7395b2450..d342d57b0 100644
--- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkPrepareHostedByInfoToApply.scala
+++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/SparkPrepareHostedByInfoToApply.scala
@@ -2,7 +2,7 @@ package eu.dnetlib.dhp.oa.graph.hostedbymap
 
 import com.fasterxml.jackson.databind.ObjectMapper
 import eu.dnetlib.dhp.application.ArgumentApplicationParser
-import eu.dnetlib.dhp.oa.graph.hostedbymap.model.{DatasourceInfo, EntityInfo}
+import eu.dnetlib.dhp.oa.graph.hostedbymap.model.EntityInfo
 
 import eu.dnetlib.dhp.schema.oaf.{Journal, Publication}
 import org.apache.commons.io.IOUtils
@@ -17,8 +17,6 @@ import org.slf4j.{Logger, LoggerFactory}
 
 object SparkPrepareHostedByInfoToApply {
 
-
-  implicit val mapEncoderDSInfo: Encoder[DatasourceInfo] = Encoders.bean(classOf[DatasourceInfo])
   implicit val mapEncoderPInfo: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
 
   def getList(id: String, j: Journal, name: String ) : List[EntityInfo] = {
@@ -58,33 +56,6 @@ object SparkPrepareHostedByInfoToApply {
     toEntityItem(c.keys.head, c.values.head)
   }
 
-  def explodeJournalInfo(input: DatasourceInfo): List[EntityInfo] = {
-    var lst : List[EntityInfo] = List()
-    if (input.getEissn != null && !input.getEissn.equals("")){
-      lst = EntityInfo.newInstance(input.getId, input.getEissn, input.getOfficialname, input.getOpenAccess) :: lst
-    }
-    if (input.getLissn != null && !input.getLissn.equals("")){
-      lst = EntityInfo.newInstance(input.getId, input.getLissn, input.getOfficialname, input.getOpenAccess) :: lst
-    }
-    if (input.getIssn != null && !input.getIssn.equals("")){
-      lst = EntityInfo.newInstance(input.getId, input.getIssn, input.getOfficialname, input.getOpenAccess) :: lst
-    }
-
-    lst
-  }
-
-  def joinDsandHBM(left:Dataset[DatasourceInfo], right:Dataset[HostedByItemType]): Dataset[EntityInfo] = {
-    left.joinWith(right,
-      left.col("id").equalTo(right.col("id")), "left")
-      .map(t2 => {
-        val dsi : DatasourceInfo = t2._1
-        if(t2._2 != null){
-          val hbi : HostedByItemType = t2._2
-          dsi.setOpenAccess(hbi.openAccess)
-        }
-        dsi
-      }).flatMap(explodeJournalInfo)
-  }
 
   def toEntityItem(journal_id: String , hbi: HostedByItemType): EntityInfo = {
 
@@ -123,7 +94,7 @@ object SparkPrepareHostedByInfoToApply {
 
     val graphPath = parser.get("graphPath")
 
-    val outputPath = parser.get("outputPath")
+    val outputPath = parser.get("preparedInfoPath")
     val hostedByMapPath = parser.get("hostedByMapPath")
 
 
@@ -139,7 +110,7 @@ object SparkPrepareHostedByInfoToApply {
     val hostedByInfo:Dataset[EntityInfo] = spark.createDataset(spark.sparkContext.textFile(hostedByMapPath)).map(toEntityInfo)
 
    //STEP2: creare la mappa publication id issn, eissn, lissn esplosa
-    val resultInfoDataset:Dataset[EntityInfo] = prepareResultInfo(spark, "$graphPath/publication")
+    val resultInfoDataset:Dataset[EntityInfo] = prepareResultInfo(spark, graphPath + "/publication")
 
     //STEP3: join resultInfo con hostedByInfo sul journal_id dal result con left
     // e riduzione di tutti i result con lo stesso id in una unica entry con aggiunto l'id della datasource