<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>GDPR on Oliseus Blog</title><link>https://oliseus.com/tags/gdpr/</link><description>Recent content in GDPR on Oliseus Blog</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>simon.bernbeck@gmail.com (Simon Bernbeck)</managingEditor><webMaster>simon.bernbeck@gmail.com (Simon Bernbeck)</webMaster><copyright>© 2024 Simon Bernbeck. All rights reserved.</copyright><lastBuildDate>Wed, 29 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://oliseus.com/tags/gdpr/index.xml" rel="self" type="application/rss+xml"/><item><title>PrivDev: Turning Static-Analysis Findings into Privacy Knowledge</title><link>https://oliseus.com/digital-odyssey/posts/privdev-static-analysis-to-privacy/</link><pubDate>Wed, 29 Jul 2026 00:00:00 +0000</pubDate><author>simon.bernbeck@gmail.com (Simon Bernbeck)</author><guid>https://oliseus.com/digital-odyssey/posts/privdev-static-analysis-to-privacy/</guid><description>&lt;p>The first PrivDev study connects data-type labels from a code scanner to a privacy vocabulary. That sounds straightforward until a label is ambiguous, the vocabulary has no close match, or a graph asserts more than the scanner could know. This article records what the first implementation accomplished and what later review changed. For the wider research programme, see the &lt;a
href="../privdev-privacy-research-introduction/">PrivDev introduction&lt;/a>.&lt;/p>
&lt;h2 class="relative group">From a scanner label to a category
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&lt;a class="group-hover:text-primary-300 dark:group-hover:text-neutral-700 !no-underline" href="#from-a-scanner-label-to-a-category" aria-label="Anchor">#&lt;/a>
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&lt;p>Bearer CLI provides the 122 input data-type labels used in this study. The pipeline relates them to personal-data categories in the &lt;a
href="https://www.w3.org/community/reports/dpvcg/CG-FINAL-pd-20240801/"
target="_blank"
>Data Privacy Vocabulary&amp;rsquo;s PD extension&lt;/a>. The output is an RDF/Turtle graph that can be queried with SPARQL. It records a proposed interpretation of each scanner label, not a description of every real processing activity in which that label might occur.&lt;/p></description></item></channel></rss>