Conference paper Open Access

Exploring GDPR Compliance Over ProvenanceGraphs Using SHACL

Pandit, Harshvardhan J.


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  <identifier identifierType="DOI">10.5281/zenodo.3246493</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>
  </creators>
  <titles>
    <title>Exploring GDPR Compliance Over ProvenanceGraphs Using SHACL</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2018</publicationYear>
  <dates>
    <date dateType="Issued">2018-09-05</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3246493</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3246492</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;Semantic&amp;nbsp; web&amp;nbsp; technologies&amp;nbsp; provide&amp;nbsp; an&amp;nbsp; open&amp;nbsp; and&amp;nbsp; adaptable framework for compliance regarding the General Data Protection Regulation&amp;nbsp; (GDPR).&amp;nbsp; Our&amp;nbsp; previous&amp;nbsp; work&amp;nbsp; in&amp;nbsp; this&amp;nbsp; regard&amp;nbsp; demonstrates&amp;nbsp; the use of SPARQL for querying provenance of consent and personal data lifecycles&amp;nbsp; for&amp;nbsp; compliance.&amp;nbsp; We&amp;nbsp; extend&amp;nbsp; this&amp;nbsp; work&amp;nbsp; through&amp;nbsp; our&amp;nbsp; model&amp;nbsp; for evaluation of GDPR compliance using SHACL to validate the correctness and completeness of information. The model describes the creation of&amp;nbsp; a&amp;nbsp; compliance&amp;nbsp; graph&amp;nbsp; consisting&amp;nbsp; of&amp;nbsp; information&amp;nbsp; required&amp;nbsp; to&amp;nbsp; document and&amp;nbsp; demonstrate&amp;nbsp; compliance&amp;nbsp; linked&amp;nbsp; to&amp;nbsp; specific&amp;nbsp; articles&amp;nbsp; and&amp;nbsp; obligations within the GDPR using the GDPRtEXT vocabulary.&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%2FRC%2F2106/">13/RC/2106</awardNumber>
      <awardTitle>ADAPT: Centre for Digital Content Platform Research</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
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