July 15, 2019 Conference paper Open Access

Kennedy, David N

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  <identifier identifierType="DOI">10.5281/zenodo.3336609</identifier>
  <creators>
    <creator>
      <creatorName>Kennedy, David N</creatorName>
      <givenName>David N</givenName>
      <familyName>Kennedy</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-9377-0797</nameIdentifier>
      <affiliation>Eunice Kennedy Shriver Center, Department of Psychiatry  University of Massachusetts Medical School  Worcester, MA, United States</affiliation>
    </creator>
  </creators>
  <titles>
    <title>The ReproPub: A hybrid research object for supporting publication-level re-execution and generalization of neuroimaging research findings</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <subjects>
    <subject>reproducible research, re-execution, data publication, software publication, containers</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2019-07-15</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3336609</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3336608</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;In this report we introduce the &amp;lsquo;ReproPub&amp;rsquo;, a publication that includes the complete provenance of its experimental data, workflow, execution environment, and results. The ReproPub concept supports re-executability of the original finding, which, it is argued, supports a more systematic exploration of the generalizability of the finding and hence enhances the evaluation of its reproducibility.&lt;/p&gt;</description>
    <description descriptionType="Other">Preprint submitted to RO2019 workshop at IEEE eScience Conference 2019</description>
  </descriptions>
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