June 26, 2018 Conference paper Open Access

Pandit, Harshvardhan J.; O'Sullivan, Declan; Lewis, Dave

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  <dc:creator>Pandit, Harshvardhan J.</dc:creator>
  <dc:creator>O'Sullivan, Declan</dc:creator>
  <dc:creator>Lewis, Dave</dc:creator>
  <dc:date>2018-06-26</dc:date>
  <dc:description>This position paper explores changes concerning the relationship between consent and activities in context of the General Data Protection Regulation (GDPR). Detecting and recording such changes with their effects can provide assistance in demonstration and manage-ment of compliance. We present an approach for using metadata-driven change detection and representation towards supporting querying for GDPR compliance. We use P-Plan (an extension to PROV) for rep-resenting provenance of activities and ODRL for representing consent.We explore the presented approach by means of a use-case.</dc:description>
  <dc:identifier>https://zenodo.org/record/3246403</dc:identifier>
  <dc:identifier>10.5281/zenodo.3246403</dc:identifier>
  <dc:identifier>oai:zenodo.org:3246403</dc:identifier>
  <dc:relation>info:eu-repo/grantAgreement/SFI/SFI+Research+Centres/13%2FRC%2F2106/</dc:relation>
  <dc:relation>doi:10.5281/zenodo.3246402</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:title>GDPR-driven Change Detection in Consent and Activity Metadata</dc:title>
  <dc:type>info:eu-repo/semantics/conferencePaper</dc:type>
  <dc:type>publication-conferencepaper</dc:type>
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