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FAIR data in the life sciences: beyond theory

19/10/2022 @ 1:00 pm - 3:30 pm

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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.

Please note, by joining this workshop you are agreeing to follow the UKRN code of conduct.

Who is this for?

Anyone working with life sciences data, for example:

  • Researchers working with data
  • Technician working with data
  • Facility operator
  • Data policy officer
  • IT officer
  • Statistician
  • Bioinformatician
  • Research software engineer
  • Data steward
  • If you feel this is for you, please join us!


Xenia Perez Sitja, Data Stewardship Community Manager, University of Bradford, ELIXIR-UK

Allyson Lister, University of Oxford

Evelyn Greeves, Cloud Span, University of York

Munazah Andrabi, University of Manchester

Tomasz Zielinski, University of Edinburgh

Programme (GMT+1)

Welcome and introductions
13:00 Why FAIR data in the life sciences?

Tools to put FAIR into practice beyond theory and principles
13:10 RDMkit: The Research Data Management toolkit for Life Sciences – Munazah Andrabi, University of Manchester

13:25 FAIR Cookbook and FAIRsharing: guidance and discovery for enabling FAIR data – Allyson Lister, University of Oxford

13:40 Panel discussion Q&A

13:50 Break (10 minutes)

Bridging the skills gap
14:00 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

14:10 Ed-DaSH: Data Science training programme for Health and Biosciences – Tomasz Zielinski, University of Edinburgh

14:25 Cloud Span: a use case of FAIR implementation on HPC training materials – Evelyn Greeves, Cloud Span, University of York

14:50 Panel discussion Q&A

15:30 Workshop close


1:00 pm - 3:30 pm