Data flow.

<div><p>Background</p><p>Anonymization opens up innovative ways of using secondary data without the requirements of the GDPR, as anonymized data does not affect anymore the privacy of data subjects. Anonymization requires data alteration, and this project aims to compare the...

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Bibliographic Details
Main Author:	David Pau (6102565) (author)
Other Authors:	Camille Bachot (3706507) (author), Charles Monteil (20208630) (author), Laetitia Vinet (20664211) (author), Mathieu Boucher (9663506) (author), Nadir Sella (4484002) (author), Romain Jegou (20664214) (author)
Published:	2025
Subjects:	Neuroscience Biotechnology Evolutionary Biology Mental Health different probability distributions four assessment levels level 2 referred xlink "> none using hellinger distances level 1 referred four anonymized data privacy protection methods raw cohort data anonymization methods reproduced xlink "> using methods four sets anonymized data level 4 level 3 hellinger distance 1 ). three methods scientific data data subjects survival analysis score ranging regression models project aims processing activity privacy risk make impossible maintain reliability irreversible manner innovative ways evaluate impact defines anonymization context risk anonymization solution affect anymore
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Data flow.

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