Dataset Open Access

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

Damian A. Tamburri


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.4534173", 
  "author": [
    {
      "family": "Damian A. Tamburri"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2020, 
        7, 
        15
      ]
    ]
  }, 
  "abstract": "<p>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 &mdash; 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&rsquo; 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 &mdash; 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&rsquo; refactoring towards more GDPR consistency.</p>", 
  "title": "Design principles for the General Data Protection Regulation (GDPR): A formal concept analysis and its evaluation", 
  "type": "dataset", 
  "id": "4534173"
}
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