Conference paper Open Access

Research Data in the Fraunhofer Digital Project : Creating a FAIR Research Data Infrastructure and Culture

Beyan, Oya; Wuchner, Andrea; Eisengräber-Pabst, Dirk; Quix, Christoph; Zaschke, Christian; Schumacher, Oliver


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  <identifier identifierType="DOI">10.5281/zenodo.1441011</identifier>
  <creators>
    <creator>
      <creatorName>Beyan, Oya</creatorName>
      <givenName>Oya</givenName>
      <familyName>Beyan</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-7611-3501</nameIdentifier>
      <affiliation>Fraunhofer FIT</affiliation>
    </creator>
    <creator>
      <creatorName>Wuchner, Andrea</creatorName>
      <givenName>Andrea</givenName>
      <familyName>Wuchner</familyName>
      <affiliation>Fraunhofer IRB</affiliation>
    </creator>
    <creator>
      <creatorName>Eisengräber-Pabst, Dirk</creatorName>
      <givenName>Dirk</givenName>
      <familyName>Eisengräber-Pabst</familyName>
      <affiliation>Fraunhofer IRB</affiliation>
    </creator>
    <creator>
      <creatorName>Quix, Christoph</creatorName>
      <givenName>Christoph</givenName>
      <familyName>Quix</familyName>
      <affiliation>Fraunhofer FIT</affiliation>
    </creator>
    <creator>
      <creatorName>Zaschke, Christian</creatorName>
      <givenName>Christian</givenName>
      <familyName>Zaschke</familyName>
      <affiliation>Fraunhofer IOSB</affiliation>
    </creator>
    <creator>
      <creatorName>Schumacher, Oliver</creatorName>
      <givenName>Oliver</givenName>
      <familyName>Schumacher</familyName>
      <affiliation>Fraunhofer</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Research Data in the Fraunhofer Digital Project : Creating a FAIR Research Data Infrastructure and Culture</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2018</publicationYear>
  <subjects>
    <subject>Research Data Infrastructure</subject>
    <subject>Data reuse</subject>
    <subject>Fraunhofer Data Space;</subject>
    <subject>FAIR evaluation</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2018-09-06</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/1441011</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.1410051</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/ro</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;The Fraunhofer Society, as the leading organization for applied research in Europe, conducts its research&lt;br&gt;
activities by 72 institutes and research units at locations throughout Germany. The Fraunhofer Digital project,&lt;br&gt;
a part of the Fraunhofer 2022 Agenda, introduces the vision, that research and administrative data will be&lt;br&gt;
linked, aggregated and analyzed in order to optimize the research and development processes and support&lt;br&gt;
management decisions. As a part of this vision, the Research Data in the Fraunhofer Data Space project&lt;br&gt;
develops methods to reuse the research data in a broader sense, and integrate research data silos in various&lt;br&gt;
institutes into Fraunhofer Data Space. In this work we present the concept, early outcomes, and a FAIRness&lt;br&gt;
assessment of the research data repository approach. In our assessment we used the FAIR metrics, and as a&lt;br&gt;
result developed a set of recommendations. These recommendations will be utilized to establish a digital&lt;br&gt;
research data infrastructure as well as a research data reuse culture in Fraunhofer. They can be also useful for&lt;br&gt;
other large scale institutions with heterogeneous research communities.&lt;/p&gt;</description>
  </descriptions>
</resource>
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