Fitxers

937390.pdf (1.99 MB)

Tipus de document

Article

Versió

Versió publicada

Data de publicació

2026-05-15

Llicència de publicació

cc-by (c) Mata i Noguera, Eduard et al., 2026
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/229624

Enabling the Reuse of Personal Data in Research: A Classification Model for Legal Compliance

Títol de la revista

Autors

Director/Tutor

ISSN de la revista

Títol del volum

Recurs relacionat

https://doi.org/10.5334/dsj-2026-018

Resum

Inspired by a proposal made almost 10 years ago, this paper presents a model for classifying personal data to inform researchers on how to manage it. The classification is based on the principles of the European General Data Protection Regulation (GDPR) and its implementation under Spanish law. The paper also describes the conditions in which personal data should be stored and accessed to ensure compliance with data protection regulations and to safeguard privacy. The authors developed the work collaboratively with the library (CRAI) and the Data Protection Office of the University of Barcelona. The outcomes of this collaboration were a decision tree for researchers and a list of requirements for research data repositories to ensure personal data is stored and accessed securely. This proposal is aligned with the FAIR principles and the commitment to responsible open science practices.

Matèries

Protecció de dades, Dipòsits institucionals, Dades de recerca

Matèries (anglès)

Data protection, Institutional repositories, Research data

Citació

Col·leccions

Articles publicats en revistes (CRAI-UB)

Citació

MATA I NOGUERA, Eduard, ORTIZ UROZ, Ruben and LABASTIDA I JUAN, Ignasi. Enabling the Reuse of Personal Data in Research: A Classification Model for Legal Compliance. Data Science Journal. 2026. Vol. 25, num. 18. [consulted: 6 of July of 2026]. Available at: https://hdl.handle.net/2445/229624

Exportar metadades

JSON - METS

Compartir registre