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.
										
									
											Keyword tags
										
										
									
											Author(s)
										
										
											Brian Kleiner /  Marieke Heers
										
									
											Contributors
										
										
											
												Switzerland CESSDA SP