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

• But what does this mean in practice?
• How can a biologist incorporate these principles in their daily workflow?

We will learn that becoming FAIR (Findable, Accessible, Interoperable, Reusable) and following Open Science practices is a process.
We will teach you how through planning and using the correct set of tools, you can make your outputs ready for public sharing and reuse.

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

This course is aimed at researchers in biomedical sciences (PhD students, postdocs, technicians, etc…) who are interested in how to apply Open Science, FAIR principles and data management standards throughout their projects’ life cycle.

Organisers

• Bio-IT
  • Lisanna Paladin
  • Renato Alves
• EMBL OSIM
  • Victoria Yan
• GHGA
  • Julia Philipp
  • Nicole Schatlowski
  • Florian Kraus

Training materials

The course content will be highly inspired to this Ed-Dash course, even if slightly personalised to our audiences.

This course is sponsored by de.NBI, the German Network for Bioinformatics Infrastructure.

Registrations

Bookings