Introduction to Circular Science by making your data FAIR
In an interactive fashion get basic theoretical knowledge about what is FAIR and how and if it could be applied to all scientific disciplines.
This course lies its basis within the PBL approach of Maastricht University. In this sense, we will build both a collective discussion of what is actually FAIR and what it means to different disciplines. We will then integrate what we have learned collectively by doing FAIR in break-out room sessions.
The participants will have a tutor available to answer questions about the exercises. However, it is up to them to develop the exercises. The intention is to build a collective road-map of FAIR points in an ending plenary session.
- Get basic theoretical knowledge about what is FAIR and how and if it could be applied to all scientific disciplines.
- Articulate benefits, barriers and challenges in making data and other outputs FAIR.
- Learn collectively through independent hands-on experience with techniques, services and technologies to make your data or help others make their data FAIR.
- Together come up with a collective Road Map of ideas on what it means to be FAIR. This last point will be used to keep building the course in the future.
Target group: Researchers of all levels at Maastricht University
Maximum number of participants: 15
Available spaces: 13/ 15
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