Conference paper Open Access

The ReproPub: A hybrid research object for supporting publication-level re-execution and generalization of neuroimaging research findings

Kennedy, David N


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  <dc:creator>Kennedy, David N</dc:creator>
  <dc:date>2019-07-15</dc:date>
  <dc:description>In this report we introduce the ‘ReproPub’, 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.</dc:description>
  <dc:description>Preprint submitted to RO2019 workshop at IEEE eScience Conference 2019</dc:description>
  <dc:identifier>https://zenodo.org/record/3336609</dc:identifier>
  <dc:identifier>10.5281/zenodo.3336609</dc:identifier>
  <dc:identifier>oai:zenodo.org:3336609</dc:identifier>
  <dc:relation>doi:10.5281/zenodo.3336608</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/ro</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>http://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>reproducible research, re-execution, data publication, software publication, containers</dc:subject>
  <dc:title>The ReproPub: A hybrid research object for supporting publication-level re-execution and generalization of neuroimaging research findings</dc:title>
  <dc:type>info:eu-repo/semantics/conferencePaper</dc:type>
  <dc:type>publication-conferencepaper</dc:type>
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