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Presentation . 2019
License: CC BY
Data sources: Datacite
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Presentation . 2019
License: CC BY
Data sources: Datacite
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FAIR Ethics: Making Ethical Review Processes more Machine Actionable

Authors: Daniel Mietchen; Verena Schwaiger; Oya Beyan;

FAIR Ethics: Making Ethical Review Processes more Machine Actionable

Abstract

These files represent a presentation given at the session "Data Reuse Ethics : Specifying Roles and Responsibilities", organized on 7th November 2018 by the Interest Group (IG) "Ethics and Social Aspects of Data" of the Research Data Alliance (RDA) as part of the RDA 12th Plenary in Gaborone, Botswana They were all generated automatically based on the Google doc that was used during the session. This work was followed up in 2019 through a M.S. thesis, "Developing a machine-actionable process model for ethical approval workflows" by Verena Schwaiger, for which the following materials are available on Zenodo as well: the thesis itself, the repo with a prototype of the model, and the presentation used in the thesis defense.

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Keywords

RDA, data ethics, metadata, data reuse, https://www.wikidata.org/wiki/Q45933174

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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