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An Open Source Python Library for Anonymizing Sensitive Data

Published in arXiv (Cornell University) • Aug 20, 2024
NobleIDNI3P52W36R78S94
Authors:
Judith Sáinz-Pardo Díaz
,
Álvaro López García

Abstract

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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