How to Manage My Data? With Machine--Interpretable GDPR Rights!

Fuente: arXiv
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Bibliographic Details
Main Authors: Esteves, Beatriz, Pandit, Harshvardhan J., Krog, Georg P., Ryan, Paul
Format: Preprint
Published: 2024
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author Esteves, Beatriz
Pandit, Harshvardhan J.
Krog, Georg P.
Ryan, Paul
author_facet Esteves, Beatriz
Pandit, Harshvardhan J.
Krog, Georg P.
Ryan, Paul
contents The EU GDPR is a landmark regulation that introduced several rights for individuals to obtain information and control how their personal data is being processed, as well as receive a copy of it. However, there are gaps in the effective use of rights due to each organisation developing custom methods for rights declaration and management. Simultaneously, there is a technological gap as there is no single consistent standards-based mechanism that can automate the handling of rights for both organisations and individuals. In this article, we present a specification for exercising and managing rights in a machine-interpretable format based on semantic web standards. Our approach uses the comprehensive Data Privacy Vocabulary to create a streamlined workflow for individuals to understand what rights exist, how and where to exercise them, and for organisations to effectively manage them. This work pushes the state of the art in GDPR rights management and is crucial for data reuse and rights management under technologically intensive developments, such as Data Spaces.
format Preprint
id arxiv_https___arxiv_org_abs_2412_15451
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle How to Manage My Data? With Machine--Interpretable GDPR Rights!
Esteves, Beatriz
Pandit, Harshvardhan J.
Krog, Georg P.
Ryan, Paul
Cryptography and Security
Computers and Society
The EU GDPR is a landmark regulation that introduced several rights for individuals to obtain information and control how their personal data is being processed, as well as receive a copy of it. However, there are gaps in the effective use of rights due to each organisation developing custom methods for rights declaration and management. Simultaneously, there is a technological gap as there is no single consistent standards-based mechanism that can automate the handling of rights for both organisations and individuals. In this article, we present a specification for exercising and managing rights in a machine-interpretable format based on semantic web standards. Our approach uses the comprehensive Data Privacy Vocabulary to create a streamlined workflow for individuals to understand what rights exist, how and where to exercise them, and for organisations to effectively manage them. This work pushes the state of the art in GDPR rights management and is crucial for data reuse and rights management under technologically intensive developments, such as Data Spaces.
title How to Manage My Data? With Machine--Interpretable GDPR Rights!
topic Cryptography and Security
Computers and Society
url https://arxiv.org/abs/2412.15451