FAIR Pointers

Audience and content

This short online course caters for people working in the Life Sciences with little or no experience of FAIR. The course aims to be succinct in introducing FAIR, its concepts and terminology, and supplements all material with signposting to useful FAIR resources. These resources include RDMkit, FAIR Cookbook, RDMbites, FAIRsharing and the Data Stewardship Wizard. These are some of the suite of resources and services offered through the ELIXIR open-access infrastructure, supporting FAIR research data management.

You will learn about

This course tackles FAIR from the perspective of the 15 FAIR Principles published in 2016. You will learn about: FAIR and its origins The FAIR Principles and its basic characteristics.

Prerequisites

This is a basic course and no prior knowledge is necessary.

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

For Reviewers

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

Schedule

	Setup	Download files required for the lesson
00:00	1. FAIR and its origins	What is FAIR and the FAIR Guiding Principles? Where does FAIR come from?
00:40	2. Metadata	What is metadata? What is good metadata? Using community standards to write (meta)data
01:20	3. Data registration	What is data registration? Why should you upload your data to a data repository? What types of data repositories are there? How to choose the right repository for your dataset?
02:00	4. Access	What is data access in the context of FAIR What are the different types of data access? What is a data usage licence? How can you share sensitive data?
02:50	5. Persistent identifiers	What is a persistent identifier? What is the structure of identifiers? Why it is important for your dataset to have an identifiers?
03:40	Finish

The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.