FAIR data in the life sciences: beyond theory
Channel: UK Reproducibility Network
Date: 2022-11-02

This is a recording of the UKRN online workshop "FAIR data in the life sciences: beyond theory" held on Wednesday 19 October 2022.

Since 2016, with the publication of the FAIR (Findable, Accessible, Interoperable, Reusable) principles (Wilkinson, M., et al.), FAIR data management and stewardship in the life sciences have been at the forefront of numerous publications, talks, research projects and policies at public institutions. Yet, for researchers working with data, applying the FAIR principles to their projects has been a hurdle. A skill gap in the life sciences workforce also hinders the progress toward FAIR data and its benefits in sharing, reusing and safeguarding life sciences data. 

This workshop will offer attendees the opportunity to learn about the existing tools to implement FAIR principles tailored to a life sciences user,  with toolkits and step-by-step guides. In addition, participants will also discover different training opportunities for personal use and further implementation in their organisations.

0:00:00 Introduction - Why FAIR data in the life sciences?
0:05:00 RDMkit: The Research Data Management toolkit for Life Sciences – Munazah Andrabi, University of Manchester
0:23:33 FAIR Cookbook and FAIRsharing: guidance and discovery for enabling FAIR data – Allyson Lister, University of Oxford
0:38:56 Panel discussion Q&A
0:52:39 ELIXIR-UK DaSH: A Fellowship to build the grassroots of a data management community across the UK – Xenia Perez Sitja, University of Bradford, ELIXIR-UK
1:02:40 Ed-DaSH: Data Science training programme for Health and Biosciences – Tomasz Zielinski, University of Edinburgh
1:17:25 Cloud Span: a use case of FAIR implementation on HPC training materials – Evelyn Greeves, Cloud Span, University of York
1:30:09 Panel discussion Q&A

Slides provided are available here: https://osf.io/wm9r4/

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