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Conference paper Open Access

Reproducibility by Other Means: Transparent Research Objects

McPhillips, Timothy; Ludaescher, Bertram


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  <identifier identifierType="DOI">10.5281/zenodo.3270620</identifier>
  <creators>
    <creator>
      <creatorName>McPhillips, Timothy</creatorName>
      <givenName>Timothy</givenName>
      <familyName>McPhillips</familyName>
      <affiliation>UIUC</affiliation>
    </creator>
    <creator>
      <creatorName>Ludaescher, Bertram</creatorName>
      <givenName>Bertram</givenName>
      <familyName>Ludaescher</familyName>
      <affiliation>UIUC</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Reproducibility by Other Means: Transparent Research Objects</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <dates>
    <date dateType="Issued">2019-07-05</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3270620</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3270559</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/ro</relatedIdentifier>
  </relatedIdentifiers>
  <version>5</version>
  <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;&lt;strong&gt;Abstract&lt;/strong&gt;&lt;br&gt;
Research Objects have the potential to significantly enhance the reproducibility and transparency of scientific research. One important way Research Objects can do this is by encapsulating the means for re-executing the computational components of studies, thus supporting the new form of reproducibility enabled by digital computing---exact repeatability. However, Research Objects also can make scientific research more reproducible by supporting transparency, a component of reproducibility orthogonal to re-executability. We describe here our vision for making Research Objects more transparent by providing means for disambiguating claims about reproducibility generally, and computational repeatability specifically. We show how support for science-oriented queries can enable researchers to assess the reproducibility of Research Objects and the individual methods and results they encapsulate.&lt;/p&gt;</description>
    <description descriptionType="Other">Preprint submitted to RO2019 workshop at IEEE eScience Conference 2019</description>
  </descriptions>
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