Comparison of anonymization techniques regarding statistical reproducibility.

ABSTRACT:

Background

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 ability of such privacy protection methods to maintain reliability and utility of scientific data for secondary research purposes.

Methods

The French data protection authority (CNIL) defines anonymization as a processing activity that consists of using methods to make impossible any identification of people by any means in an irreversible manner. To answer project's objective, a series of analyses were performed on a cohort, and reproduced on four sets of anonymized data for comparison. Four assessment levels were use

SUBMITTER: Pau D 

PROVIDER: S-EPMC11790161 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature