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#anonymization

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ADMIN magazine<p>From the ADMIN Update newsletter, Daniel Richey looks at anonymization and pseudonymization of data <br><a href="https://www.admin-magazine.com/Archive/2025/86/Anonymization-and-pseudonymization-of-data?utm_source=mam" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">admin-magazine.com/Archive/202</span><span class="invisible">5/86/Anonymization-and-pseudonymization-of-data?utm_source=mam</span></a><br><a href="https://hachyderm.io/tags/privacy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>privacy</span></a> <a href="https://hachyderm.io/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>data</span></a> <a href="https://hachyderm.io/tags/anonymization" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>anonymization</span></a> <a href="https://hachyderm.io/tags/pseudonymization" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pseudonymization</span></a> <a href="https://hachyderm.io/tags/analysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>analysis</span></a> <a href="https://hachyderm.io/tags/GDPR" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GDPR</span></a></p>
Marco<p>As a first post I would like to not highlight my own research, but the research of my colleagues, since I really love the way how this research began: With a question many people have asked.</p><p>As our working group researches on topics on <a href="https://scicomm.xyz/tags/anonymization" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>anonymization</span></a> and <a href="https://scicomm.xyz/tags/deidentification" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>deidentification</span></a> of medical and health data, the risk of identifying people or their membership in certain groups (e.g. having a specific diagnosis) is always present. On one of our retreats they decided to research the question:</p><p>Who are those adversaries, trying to do re-identify people in health data sets, what are their motives and what could be the harm?</p><p>The results can be found in the <a href="https://scicomm.xyz/tags/OpenAccess" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenAccess</span></a> paper: Health Data Re-Identification: Assessing Adversaries and Potential Harms</p><p><a href="https://doi.org/10.3233/SHTI240626" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">doi.org/10.3233/SHTI240626</span><span class="invisible"></span></a></p><p><a href="https://scicomm.xyz/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>data</span></a> <a href="https://scicomm.xyz/tags/adversary" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>adversary</span></a> <a href="https://scicomm.xyz/tags/healthdata" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>healthdata</span></a> <a href="https://scicomm.xyz/tags/medicalinformatics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>medicalinformatics</span></a> <a href="https://scicomm.xyz/tags/privacy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>privacy</span></a> <a href="https://scicomm.xyz/tags/dataprotection" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataprotection</span></a></p>