An Open Source Python Library for Anonymizing Sensitive Data

Open science is a fundamental pillar to promote scientific progress and collaboration, based on the principles of open data, open source and open access. However, the requirements for publishing and sharing open data are in many cases difficult to meet in compliance with strict data protection regul...

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Bibliographic Details
Published in:	Scientific data Vol. 11; no. 1; pp. 1289 - 14
Main Authors:	Sáinz-Pardo Díaz, Judith, López García, Álvaro
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 26.11.2024 Nature Publishing Group Nature Portfolio
Subjects:	639/705/1046 639/705/117 639/705/794 Humanities and Social Sciences Libraries multidisciplinary Open data Science Science (multidisciplinary) Sensitivity analysis
ISSN:	2052-4463, 2052-4463
Online Access:	Get full text
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