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Anonymization Ontology: A Privacy-Preserving Framework for GDPR-Compliant Anonymization of Personal Health Data

Name: Anonymization Ontology: A Privacy-Preserving Framework for GDPR-Compliant Anonymization of Personal Health Data
Creator: Rai, Noopur

Research datakeyboard_double_arrow_right Dataset 20 Dec 2024 English Publisher:Zenodo

Authors: Rai, Noopur;

doi: 10.5281/zenodo.14381258 , 10.5281/zenodo.14381257

Anonymization Ontology: A Privacy-Preserving Framework for GDPR-Compliant Anonymization of Personal Health Data

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Abstract

Anonymization ontology describes generic anonymization software to achieve GDPR-compliant anonymization. We semantically model the anonymization process as a modular software design to allow easy integration of new privacy methods and data from diverse data domains. It provides a common vocabulary for processes within the privacy preservation domain.

Related Organizations

German Aerospace Center
Germany

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