Dataset Open Access
Damian A. Tamburri
<?xml version='1.0' encoding='UTF-8'?> <record xmlns="http://www.loc.gov/MARC21/slim"> <leader>00000nmm##2200000uu#4500</leader> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Privacy-by-design; GDPR; Formal-concept analysis</subfield> </datafield> <controlfield tag="005">20210225103736.0</controlfield> <controlfield tag="001">4534173</controlfield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">29444923</subfield> <subfield code="z">md5:9b0e42062e525ca8b0ce10dacd9729e6</subfield> <subfield code="u">https://zenodo.org/record/4534173/files/FCA.zip</subfield> </datafield> <datafield tag="542" ind1=" " ind2=" "> <subfield code="l">open</subfield> </datafield> <datafield tag="260" ind1=" " ind2=" "> <subfield code="c">2020-07-15</subfield> </datafield> <datafield tag="909" ind1="C" ind2="O"> <subfield code="p">openaire_data</subfield> <subfield code="p">user-787061</subfield> <subfield code="o">oai:zenodo.org:4534173</subfield> </datafield> <datafield tag="100" ind1=" " ind2=" "> <subfield code="u">Tu/e - JADS</subfield> <subfield code="a">Damian A. Tamburri</subfield> </datafield> <datafield tag="245" ind1=" " ind2=" "> <subfield code="a">Design principles for the General Data Protection Regulation (GDPR): A formal concept analysis and its evaluation</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">user-787061</subfield> </datafield> <datafield tag="536" ind1=" " ind2=" "> <subfield code="c">787061</subfield> <subfield code="a">Advanced tools for fighting oNline Illegal TrAfficking</subfield> </datafield> <datafield tag="540" ind1=" " ind2=" "> <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield> <subfield code="a">Creative Commons Attribution 4.0 International</subfield> </datafield> <datafield tag="650" ind1="1" ind2="7"> <subfield code="a">cc-by</subfield> <subfield code="2">opendefinition.org</subfield> </datafield> <datafield tag="520" ind1=" " ind2=" "> <subfield code="a"><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></subfield> </datafield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="n">doi</subfield> <subfield code="i">isVersionOf</subfield> <subfield code="a">10.5281/zenodo.4534172</subfield> </datafield> <datafield tag="024" ind1=" " ind2=" "> <subfield code="a">10.5281/zenodo.4534173</subfield> <subfield code="2">doi</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">dataset</subfield> </datafield> </record>
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