July 15, 2020 Dataset Open Access

Damian A. Tamburri

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    <subfield code="a">&lt;p&gt;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 &amp;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&amp;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 &amp;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&amp;rsquo; refactoring towards more GDPR consistency.&lt;/p&gt;</subfield>
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