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Presentation . 2024
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2024
License: CC BY
Data sources: Datacite
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Turn the GDPR burden into an asset: Sharing and reusing personal data

Authors: Romero Pastrana, Francisco; Huijser, Dorien;

Turn the GDPR burden into an asset: Sharing and reusing personal data

Abstract

This upload contains the slides presented in the parallel session "Turn the GDPR burden into an asset - Sharing and reusing personal data within the Social Science & Humanities (SSH track)" of the event "Teaming Up Across Domains", which was held on February 27th in Utrecht, the Netherlands. Session summary Sharing and reusing personal data in the age of the GDPR can be a challenge. Lack of clarity and certainty on how to achieve compliance in scientific research has become a burden for both researchers and data support staff and gets in the way of researchers teaming up with other disciplines. To address this issue at large, the 'privacy scan' can be used as a tool to approach GDPR compliance from a different perspective.In this interactive workshop, we aim to demonstrate the privacy scan framework, and discuss cases within the Social Sciences & Humanities (SSH) in which sharing personal data seems too difficult at first. From there, we will broaden the discussion to the larger roadblocks that we might have to take steps to resolve nationally.Bring your challenging cases and questions and get ready for a hands-on hour on how to use the GDPR to science’s advantage and to allow for more teaming up with SSH data! More information Collaborative session notes: edu.nl/y4kak Privacy scan: https://doi.org/10.5281/zenodo.10527708 Data Privacy Handbook: https://uu.nl/privacyhandbook Program Teaming Up Across Domains: https://tdcc.nl/evenementen/teaming-up-across-domains/

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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!
0
Average
Average
Average
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