FAIR in (Biological) Practice

Open Science is disruptive. It will change how we do reasearch and how society benefits from it. Making data re-usable is key to this, and FAIR principles are a way to achieve it.

• But what does it mean in practice?

• How can a biologist incorporate those principles in their workflow?

• We will learn that becoming FAIR and following OS practices is a process.

• We will learn how to work more efficient with the data

We will teach you how planning and using the correct set of tools you can make your outputs ready for public sharing and reuse.

This hands-on 4 half-day sessions workshop covers the basics of Open Science and FAIR practices, and looks at how to use these ideas in your own projects. The workshop is a mix of lectures and hands-on lessons where you will use the approaches learned and implement some of the discussed practices.

The course is aimed at active researchers in biomedicine science (PhD students, postdocs, technicians, young PIs etc.) who are interested in Open Science, FAIR (Findable, Accessible, Interoperable and Reusable) principles and efficient data management. This training is aimed at those who want to be familiar with these concepts and apply them throughout their project’s life cycle. The course is covered in four half days.

Ed-DaSH

Ed-DaSH is a Data Science training programme for Health and Biosciences. The team has developed workshops using The Carpentries platform on the following topics. See workshops for dates and registration details. All workshops will be delivered remotely.