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FAIRplus: D4.01 Description of the objective evaluation criteria for the application review

Pippow, Andreas; Kroh, Franziska; Boiten, Jan-Willem; Mabile, Laurence


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  <identifier identifierType="DOI">10.5281/zenodo.3465652</identifier>
  <creators>
    <creator>
      <creatorName>Pippow, Andreas</creatorName>
      <givenName>Andreas</givenName>
      <familyName>Pippow</familyName>
      <affiliation>Fraunhofer</affiliation>
    </creator>
    <creator>
      <creatorName>Kroh, Franziska</creatorName>
      <givenName>Franziska</givenName>
      <familyName>Kroh</familyName>
      <affiliation>Fraunhofer</affiliation>
    </creator>
    <creator>
      <creatorName>Boiten, Jan-Willem</creatorName>
      <givenName>Jan-Willem</givenName>
      <familyName>Boiten</familyName>
      <affiliation>Lygature</affiliation>
    </creator>
    <creator>
      <creatorName>Mabile, Laurence</creatorName>
      <givenName>Laurence</givenName>
      <familyName>Mabile</familyName>
      <affiliation>UPS</affiliation>
    </creator>
  </creators>
  <titles>
    <title>FAIRplus: D4.01 Description of the objective evaluation criteria for the application review</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <dates>
    <date dateType="Issued">2019-09-30</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Project deliverable</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3465652</alternateIdentifier>
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  <rightsList>
    <rights rightsURI="https://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;In order to increase all aspects of data discovery, accessibility and reusability,&amp;nbsp;FAIRplus is launching a unique Fellowship Programme. By pooling PhD and/or&amp;nbsp;postdoc students from Life Sciences departments of affiliated academic institutions&amp;nbsp;with expert partners from SMEs, the programme provides an opportunity for&amp;nbsp;researchers to build FAIRdata research groups in the field of FAIR data management.&amp;nbsp;The programme is designed by the FRAUNHOFER INSTITUT FIT and implemented by&amp;nbsp;selected FAIRplus partners. The purpose of this Fellowship Programme is to&amp;nbsp;intensively train eligible PhD and/or postdoc students together with industry partners&amp;nbsp;(from the EFPIA and SME network) in FAIR data management procedures. An&amp;nbsp;increased knowledge transfer for FAIR data transformations will naturally lead to a&amp;nbsp;wider sharing of best practices, greater opportunities for innovation, and more&amp;nbsp;insights that can benefit the whole of society. The Fellowship Programme is - until&amp;nbsp;further notice - scheduled to be active until the end of 2021.&amp;nbsp;The following report provides an overview of the FAIR Fellowship Application Process,&amp;nbsp;eligibility, preliminary application deadlines,&amp;nbsp;information about the evaluation&amp;nbsp;process as well as the evaluation criteria of both candidates and the selection of&amp;nbsp;suitable project data sets.&lt;/p&gt;</description>
    <description descriptionType="Other">This project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No. 802750. This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation and EFPIA companies.</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/802750/">802750</awardNumber>
      <awardTitle>FAIRplus</awardTitle>
    </fundingReference>
  </fundingReferences>
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