February 21, 2022 Project deliverable Open Access

Nerea Argarate; Susanne Resch; Nerea Briz; Goran Bijelic; Julia Hann

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  <identifier identifierType="DOI">10.5281/zenodo.6259187</identifier>
  <creators>
    <creator>
      <creatorName>Nerea Argarate</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-3886-5723</nameIdentifier>
      <affiliation>BNN</affiliation>
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    <creator>
      <creatorName>Susanne Resch</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-1016-5979</nameIdentifier>
      <affiliation>BNN</affiliation>
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    <creator>
      <creatorName>Nerea Briz</creatorName>
      <affiliation>TEC</affiliation>
    </creator>
    <creator>
      <creatorName>Goran Bijelic</creatorName>
      <affiliation>TEC</affiliation>
    </creator>
    <creator>
      <creatorName>Julia Hann</creatorName>
      <affiliation>TUC</affiliation>
    </creator>
  </creators>
  <titles>
    <title>D8.3. First version of the exploitation and dissemination plan of results</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2022</publicationYear>
  <subjects>
    <subject>DeDNAed project, Plan for Dissemination and Exploitation of Project Results (PDER)</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2022-02-21</date>
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    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
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  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;DeDNAed, Exploitation and dissemination plan report&lt;/p&gt;</description>
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  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/Horizon 2020 Framework Programme - Research and Innovation action/964248/">964248</awardNumber>
      <awardTitle>Cluster decorated recognition elements on DNA origami for enhanced raman spectroscopic detection methods</awardTitle>
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