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--- dcc:pdpsol:de-identification [2026/05/11 14:29] – marlon
+++ dcc:pdpsol:de-identification [2026/05/13 13:23] (current) – alba
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-===== De-identification, Anonymization and Pseudonymization =====
+===== De-identification, anonymization and pseudonymization =====
 ==== Introduction ====
 De-identification is the masking, manipulation or removal of personal data with the aim of making individuals in a dataset less easy to identify. It is especially important when you want to share, publish or archive your dataset, but it can also help protect your participants' privacy in case of a [[https://www.rug.nl/digital-competence-centre/privacy-and-data-protection/data-protection/data-leak|data leak]] during your research. During the different phases of your research, you should determine whether it is possible to de-identify your dataset while also keeping in mind its usability.
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 You can apply these techniques during different phases of your research:
-  * After data collection to protect participants when analyzing their data
+  * After data collection, to protect participants when analyzing their data
   * Before sharing data with collaborators or other third parties
   * Before archiving data