July 15, 2020 Dataset Open Access

Damian A. Tamburri

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{
  "description": "<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>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Tu/e - JADS", 
      "@type": "Person", 
      "name": "Damian A. Tamburri"
    }
  ], 
  "url": "https://zenodo.org/record/4534173", 
  "datePublished": "2020-07-15", 
  "keywords": [
    "Privacy-by-design; GDPR; Formal-concept analysis"
  ], 
  "@context": "https://schema.org/", 
  "distribution": [
    {
      "contentUrl": "https://zenodo.org/api/files/9aac8f4a-21c6-4987-915b-6f49be96e2ac/FCA.zip", 
      "encodingFormat": "zip", 
      "@type": "DataDownload"
    }
  ], 
  "identifier": "https://doi.org/10.5281/zenodo.4534173", 
  "@id": "https://doi.org/10.5281/zenodo.4534173", 
  "@type": "Dataset", 
  "name": "Design principles for the General Data Protection Regulation (GDPR): A formal concept analysis and its evaluation"
}