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This short online course is suitable for researchers working with Life Science data, who would like to apply FAIR principles to their research outputs. The course uses simple examples of how to make research data FAIR, providing direct guidance, as well as signposting to other more comprehensive FAIR data resources such as RDMkit, FAIRcookbook, FAIRsharing, and the DSW Wizard. Participants will be able to familiarise themselves with basic content and context, as well as being made aware of where to find additional guidance and training.

This work is funded by ELIXIR-UK: FAIR Data Stewardship training UKRI (MR/C038966/1)

You will learn

  • The FAIR principles and related terms including 'FAIRification' and 'FAIRness' of data.
  • The differences between FAIR and Open data.
  • How to find further information from a broader and more comprehensive set of FAIR data resources
  • How to make data FAIR through worked examples. {: .objectives}

Prerequisites

This is a basic course. There is no prior knowledge necessary.
{: .prereq}

For Reviewers

If you have any comments or suggestions for our course, please open a pull request {: .discussion}