Dataset Open Access
Damian A. Tamburri
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="DOI">10.5281/zenodo.4534173</identifier> <creators> <creator> <creatorName>Damian A. Tamburri</creatorName> <affiliation>Tu/e - JADS</affiliation> </creator> </creators> <titles> <title>Design principles for the General Data Protection Regulation (GDPR): A formal concept analysis and its evaluation</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2020</publicationYear> <subjects> <subject>Privacy-by-design; GDPR; Formal-concept analysis</subject> </subjects> <dates> <date dateType="Issued">2020-07-15</date> </dates> <resourceType resourceTypeGeneral="Dataset"/> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4534173</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4534172</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/787061</relatedIdentifier> </relatedIdentifiers> <rightsList> <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="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></description> </descriptions> <fundingReferences> <fundingReference> <funderName>European Commission</funderName> <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier> <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/787061/">787061</awardNumber> <awardTitle>Advanced tools for fighting oNline Illegal TrAfficking</awardTitle> </fundingReference> </fundingReferences> </resource>
All versions | This version | |
---|---|---|
Views | 28 | 28 |
Downloads | 1 | 1 |
Data volume | 29.4 MB | 29.4 MB |
Unique views | 22 | 22 |
Unique downloads | 1 | 1 |