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Conference paper Open Access

The Use of Open Data to Improve the Repeatability of Adaptivity and Personalisation Experiment

Pandit, Harshvardhan J.; Hamed, Roghaiyeh Gachpaz; Lawless, Séamus; Lewis, Dave


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  <identifier identifierType="DOI">10.5281/zenodo.3245325</identifier>
  <creators>
    <creator>
      <creatorName>Pandit, Harshvardhan J.</creatorName>
      <givenName>Harshvardhan J.</givenName>
      <familyName>Pandit</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-5068-3714</nameIdentifier>
      <affiliation>ADAPT Centre, Trinity College Dubln</affiliation>
    </creator>
    <creator>
      <creatorName>Hamed, Roghaiyeh Gachpaz</creatorName>
      <givenName>Roghaiyeh Gachpaz</givenName>
      <familyName>Hamed</familyName>
      <affiliation>ADAPT Centre, Trinity College Dubln</affiliation>
    </creator>
    <creator>
      <creatorName>Lawless, Séamus</creatorName>
      <givenName>Séamus</givenName>
      <familyName>Lawless</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-6302-258X</nameIdentifier>
      <affiliation>ADAPT Centre, Trinity College Dubln</affiliation>
    </creator>
    <creator>
      <creatorName>Lewis, Dave</creatorName>
      <givenName>Dave</givenName>
      <familyName>Lewis</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-3503-4644</nameIdentifier>
      <affiliation>ADAPT Centre, Trinity College Dubln</affiliation>
    </creator>
  </creators>
  <titles>
    <title>The Use of Open Data to Improve the Repeatability of Adaptivity and Personalisation Experiment</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <dates>
    <date dateType="Issued">2019-06-12</date>
  </dates>
  <resourceType resourceTypeGeneral="ConferencePaper"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3245325</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3244365</relatedIdentifier>
  </relatedIdentifiers>
  <version>preprint</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;Reproducibility of results is a key element for the verification of scientific experiments and an important indicator of the quality of a published experiment. It is vital therefore to precisely and transparently share both the method and the data associated with an experiment. Data associated with an experiment is often linked within peer-reviewed sci- entific publications, and is difficult to assess in a consistent manner. In this paper we explore how emerging linked data standards can be applied to the description and data of pub- lished adaptivity and personalisation experiments in a man- ner that can be linked from publications and easily located, accessed and reused to repeat an experiment. The approach also provides possibilities for published experiments to be extended or modified to provide a firmer grounding for pub- lishing new results and conclusions.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>Science Foundation Ireland</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100001602</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/SFI/SFI Research Centres/13/RC/2106/">13/RC/2106</awardNumber>
      <awardTitle>ADAPT: Centre for Digital Content Platform Research</awardTitle>
    </fundingReference>
  </fundingReferences>
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