Quantitative data anonymisation: practical guidance for anonymising sensitive social science data - FORS Guide

Base data
CESSDA ID
crdr-4804
Date of publication
2024
Date added
2025-06-10
Last modified
2025-06-10
Resource type
Journal article
Description
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.
Author(s)
Brian Kleiner / Marieke Heers
Contributors
Switzerland CESSDA SP