hands-on tutorial

FAIRification of an RNAseq dataset

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The questions this addresses are:
- How can an RNAseq dataset be made FAIR?
- How are the FAIR principles put into practice with a data-type used commonly in the Life Sciences?

The objectives are:
- To be able to map each of the FAIR principles to a dataset in the public domain

DOI: https://gxy.io/GTN:T00435

Licence: Creative Commons Attribution 4.0 International

Keywords: FAIR Data, Workflows, and Research, data stewardship, dmp, fair

Target audience: Students

Resource type: hands-on tutorial

Version: 1

Status: Active

Prerequisites:

  • Access
  • Data Registration
  • FAIR and its Origins
  • Metadata
  • Persistent Identifiers

Learning objectives:

To be able to map each of the FAIR principles to a dataset in the public domain

Date created: 2024-05-26

Date modified: 2024-03-27

Date published: 2024-03-27

Authors: Andrew Mason, Branka Franicevic, Katarzyna Kamieniecka, Khaled Jum'ah, Krzysztof Poterlowicz, Philippe Rocca-Serra, Robert Andrews, Sara Morsy, Xenia Perez Sitja

External resources:
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