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License: CC BY
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Audiovisual . 2022
License: CC BY
Data sources: Datacite
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Anonymisation for data sharing in practice [Online Workshop. Recording]

Authors: Halamić, Vedran; Dalsten Sørensen, Jan; Thilsing-Engholm, Mads; Glavica, Marijana;

Anonymisation for data sharing in practice [Online Workshop. Recording]

Abstract

The goal of this event was to show trainers the tools they need to teach the fundamentals of data anonymisation and disclosure control in training sessions while also giving them hands-on experience with current open source technologies (sdcMicro). Some of the concepts and techniques presented, included k-anonymity, top/bottom coding and aggregation with practical examples and recommendations on incorporating anonymisation into research designs. The video is available on the CESSDA Training YouTube channel.

Keywords

anonymisation, data coding, k-anonymity, data agreggation, research data

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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