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ZENODO
Report . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Report . 2024
License: CC BY
Data sources: Datacite
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Awesome list or Trusted Research Environments (TREs) for the Social Sciences

Authors: Van der Meer, Lucas; All other authors of the TruSSD proposal;

Awesome list or Trusted Research Environments (TREs) for the Social Sciences

Abstract

A list of Trusted Research Environments throughout Europe, that are commonly in use by social scientists in Europe. A Trusted Research Environment (TRE) is a virtual machine on which a researcher can perform analyses on sensitive data, but the data cannot leave the environment without explicit approval by the data holder. This leaves the data holder in complete control of the data, facilitating GDPR compliance. The data may be sensitive because of privacy, copyright or commercial reasons. The concept is used a lot in the social sciences. Many data holders provide their own TRE, although some TREs are data holder-agnostic. For more information, check the attached GitHub repository.

Keywords

Awesome List, Sensitive Data, Trusted Research Environments

  • BIP!
    Impact byBIP!
    citations
    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).
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
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
Green