The document discusses the University Library and Institute of Data Science at Maastricht University, emphasizing the importance of FAIR (Findable, Accessible, Interoperable, and Reusable) principles for digital research and fostering a collaborative research environment. It highlights initiatives aimed at changing research culture, supporting data-driven insights, and promoting responsible data usage. The goal is to enhance multidisciplinary collaboration and improve the quality of research by 2023.

1. University Library & Institute of Data Science
The importance of Data Driven Communities
Road to the science of the future
Carlos Utrilla Guerrero
c.utrillaguerrero@maastrichtuniversity.nl

2. University Library & Institute of Data Science
Maastricht University
aims to be entirely FAIR
by 2023

3. University Library & Institute of Data Science
An international, bottom-up paradigm for the discovery
and reuse of digital content
by and for people and machines

4. University Library & Institute of Data Science
FAIR addresses, in a incisive manner, the hard
requirements associated with reproducible digital
research objects

5. https://www.nature.com/articles/sdata201618#Sec6
Where social collaboration and technical
infrastructure meet

6. There are no fundamental technological
barriers to FAIR
Slide by Eric Schultes, GO FAIR DCSS IN Workshop Leiden 18/12/2019; https://drive.google.com/file/d/1G_bcUhsAyVG3SFZMoBnoJ59M-2zIqR9K/view
The hard problems are social:
Community agreements and Choices

7. University Library & Institute of Data Science
Change the worldwide research culture
Starting point of the FAIR journey
• Create a common space where we talk to each
other and raise FAIR-consciousness
• Help drive cultural change in research –
benefiting individuals, making UM a more
unique place to study and work, and improving
the quality of research
• How to change research culture?
FAIR

8. University Library & Institute of Data Science
Facilitate the responsable use of data
The mission of the Institute of Data Science at
Maastricht University is to foster a collaborative
environment for multi-disciplinary data science
research, interdisciplinary training, and
data-driven innovation .
We tackle key scientific, technical, social, legal,
ethical issues that advance our understanding
and strengthen our communities in the face of
these developments.
website: maastrichtuniversity.nl/research/ids

9. University Library & Institute of Data Science
Community For Data Driven Insights (CDDI)
Cultivating committed initiative with shared vision and goals

10. University Library & Institute of Data Science
Community For Data Driven Insights (CDDI)
Supporting the road to the science of the future

11. University Library & Institute of Data Science
Towards FAIR University: from principle to
practise
Pilot projects to prove concept across disciplines

12. University Library & Institute of Data Science
2021 – FAIR and Data Science services outlook
New FAIR lovers learn from experience peers
• Workshops, Training Program FAIR/RDM, online-modules, FAIRCoffees and
more!:
- Getting started with making your data FAIR
- Reproducible research tools
- Foundational Skills for Data Analysis with R
• Data Science Project guides and best practices using Data Science Research
Infrastructure (DSRI)
Learn more about DSRI: https://maastrichtu-ids.github.io/dsri-documentation/
https://escience-academy.github.io/2020-10-19-Data-Carpentry-with-R/
https://maastrichtu-ids.github.io/best-practices/

13. University Library & Institute of Data Science
Take Home Messages
• FAIR as optimal experience, intrinsically rewarding and will have worldwide
social and economic impact
• Get in touch with your Data Steward
- No Data Steward yet? Please, ask for support today!
• Involve researchers in shaping FAIR
- In particular, work together with the community and inspire others
• All together, let’s make Open Science and FAIR data the norm!

14. University Library & Institute of Data Science
Acknowledgements
• Institute of Data Science
• CDDI
• Thank YOU for your attention!