Published February 8, 2019 | Version v1
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FAIR Ethics: Making Ethical Review Processes more Machine Actionable

  • 1. Data Science Institute, University of Virginia
  • 2. RWTH Aachen


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.


FAIR Ethics - Making Ethical Review Processes more Machine Actionable.pdf

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