Anonymization techniques; Secondary use of health data; Data protection and privacy
Résumé :
[en] o protect the data privacy of individuals, various legisla-
tive instruments prescribed the anonymization or pseudo-anonymization
of data before such data may be shared for purposes including health re-
search. However, the mere mention of this requirement is not sufficient.
Considering the rapid development in both anonymization techniques,
including re-identification attacks and the ease with which they can be
implemented as a result of data aggregation, it is important to find con-
sensus about the meaning of anonymization and, most importantly what
techniques are considered to be sufficient to achieve true anonymization
for purposes of data sharing and secondary use of data as advocated for
in the European Health Data Space proposal. In this paper, we investi-
gate the current state of the terminology used and how it is approached
in different legal instruments and then consider this against the aims
and goals of the European Health Data Space proposal. Lastly, we shall
consider the available and potential techniques that may be valuable in
anonymizing data for purposes as contemplated in the European Health Data Space proposal.
Fatma Sumeyra Dogan ✱; Jagiellonian University - Krakow
EL MESTARI, Soumia Zohra ✱; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > IRiSC
✱ Ces auteurs ont contribué de façon équivalente à la publication.
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Techniques to achieve anonymization of health data: When are they sufficient to be considered as legally complaint?
Date de publication/diffusion :
08 février 2025
Nom de la manifestation :
workshop of Law and Society in the conference Machine Learning and Principles and Practice of Knowledge Discovery in Databases ECML KDD
Lieu de la manifestation :
Turin, Italie
Date de la manifestation :
September 18–22, 2023
Manifestation à portée :
International
Titre du périodique :
Communications in Computer and Information Science
ISSN :
1865-0929
Maison d'édition :
Springer Cham
Peer reviewed :
Peer reviewed
Focus Area :
Law / European Law Computational Sciences
Projet européen :
H2020 - 956562 - LeADS - Legality Attentive Data Scientists
Organisme subsidiant :
European Union. Marie Skłodowska-Curie Actions European Union
N° du Fonds :
956562
Subventionnement (détails) :
This work has been funded by the European Union’s Horizon 2020 Innovative
Training Networks, Legality Attentive Data Scientists (LeADS) under Grant
Agreement ID 956562.