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Techniques to achieve anonymization of health data: When are they sufficient to be considered as legally complaint?
Fatma Sumeyra Dogan; EL MESTARI, Soumia Zohra
2025In Communications in Computer and Information Science
Peer reviewed
 

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Keywords :
Anonymization techniques; Secondary use of health data; Data protection and privacy
Abstract :
[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.
Disciplines :
Computer science
Law, criminology & political science: Multidisciplinary, general & others
Author, co-author :
Fatma Sumeyra Dogan ;  Jagiellonian University - Krakow
EL MESTARI, Soumia Zohra  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > IRiSC
 These authors have contributed equally to this work.
External co-authors :
yes
Language :
English
Title :
Techniques to achieve anonymization of health data: When are they sufficient to be considered as legally complaint?
Publication date :
08 February 2025
Event name :
workshop of Law and Society in the conference Machine Learning and Principles and Practice of Knowledge Discovery in Databases ECML KDD
Event place :
Turin, Italy
Event date :
September 18–22, 2023
Audience :
International
Journal title :
Communications in Computer and Information Science
ISSN :
1865-0929
Publisher :
Springer Cham
Peer reviewed :
Peer reviewed
Focus Area :
Law / European Law
Computational Sciences
European Projects :
H2020 - 956562 - LeADS - Legality Attentive Data Scientists
Funders :
European Union. Marie Skłodowska-Curie Actions
European Union
Funding number :
956562
Funding text :
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.
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