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Design principles for the General Data Protection Regulation (GDPR): A formal concept analysis and its evaluation

Damian A. Tamburri


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  <dc:creator>Damian A. Tamburri</dc:creator>
  <dc:date>2020-07-15</dc:date>
  <dc:description>Data and software are nowadays one and the same: for this very reason, the European Union (EU) and other governments introduce frameworks for data protection — a key example being the General Data Protection Regulation (GDPR). However, GDPR compliance is not straightforward: its text is not written by software or information engineers but rather, by lawyers and policy-makers. As a design aid to information engineers aiming for GDPR compliance, as well as an aid to software users’ understanding of the regulation, this article offers a systematic synthesis and discussion of it, distilled by the mathematical analysis method known as Formal Concept Analysis (FCA). By its principles, GDPR is synthesised as a concept lattice, that is, a formal summary of the regulation, featuring 144372 records — its uses are manifold. For example, the lattice captures so-called attribute implications, the implicit logical relations across the regulation, and their intensity. These results can be used as drivers during systems and services (re-)design, development, operation, or information systems’ refactoring towards more GDPR consistency.</dc:description>
  <dc:identifier>https://zenodo.org/record/4534173</dc:identifier>
  <dc:identifier>10.5281/zenodo.4534173</dc:identifier>
  <dc:identifier>oai:zenodo.org:4534173</dc:identifier>
  <dc:relation>info:eu-repo/grantAgreement/EC/H2020/787061/</dc:relation>
  <dc:relation>doi:10.5281/zenodo.4534172</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/787061</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>Privacy-by-design; GDPR; Formal-concept analysis</dc:subject>
  <dc:title>Design principles for the General Data Protection Regulation (GDPR): A formal concept analysis and its evaluation</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>dataset</dc:type>
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