FAIR Coffee lecture – Michel Dumontier

UM is on a mission to become a leading example in the Open Science movement, which aims to make research papers, data, methods, etc. open to anyone so we can all benefit. The FAIR principles go hand-in-hand with Open Science and they form a great guide to make sure that the research you make Open, can actually be used. With the FAIR Coffee lecture series, the Open Science Community of UM, in collaboration with the Community for Data-Driven Initiatives (CDDI), will help you find out more about these topics and discover how your colleagues have applied Open Science and FAIR principles to their research. These lectures are a perfect chance to dip your toes in the FAIR water and find inspiration in the work of others!

In this third session of the FAIR Coffee lectures, on January 14 2022 at 11 am, we’ve invited Prof. Michel Dumontier. He is a Distinguished Professor of Data Science at Maastricht University, the founder and Director of the Institute of Data Science at Maastricht University, and a co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research aims to unlock the potential of data for scientific research. He is an expert in building and mining knowledge graphs for drug discovery and personalised medicine.

His lecture is titled “Evaluating FAIRness” and will cover FAIR assessment tools with a focus on the history and state of the art in the FAIRness assessment, including manual, semi-automated and fully automated approaches, and how these can be used by developers and consumers alike. More information can be found in the abstract.

The program is as follows:

• 11.00 A quick introduction on FAIR/Open Science and the FAIR Coffee lecture series
• 11.05 Main lecture by Prof. Michel Dumontier (Including discussion/questions)
• 11.50 Caffeine quiz & closing statement

Please register for the event on the right side of the page. See you there!

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Future events

Our fourth FAIR Coffee lecture, on February 15 2022, will be held by Dr Kathleen Gregory, Guest Research Fellow at DANS (Data Archiving and Networked Services).

Below, you can find the FAIR Coffee program for the rest of this academic year: