Quantitative data anonymisation: practical guidance for anonymising sensitive social science data

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Ressource 1Télécharger: Kleiner&Heers2024.pdf (362.86 [Ko])
Etat: Public
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_13CC50576B31
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Quantitative data anonymisation: practical guidance for anonymising sensitive social science data
Périodique
FORS Guides
Auteur⸱e⸱s
Kleiner Brian, Heers Marieke
Statut éditorial
Publié
Date de publication
18/03/2024
Peer-reviewed
Oui
Volume
23
Langue
anglais
Résumé
In the social sciences, requirements from funders and journals to make data available often present difficulties for researchers because of data protection issues. Anonymisation is a good solution for addressing the challenges of personal and sensitive data. This FORS Guide provides some practical guidance on how to select and apply techniques for anonymising quantitative data within a larger strategic framework for sharing.
Création de la notice
21/03/2024 18:15
Dernière modification de la notice
22/03/2024 9:26
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