FAIR Coffee – Challenges and solutions toward building a FAIR database for traditional games


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 be used.


In our upcoming lecture, a data scientist at the Institute of Data Science, Carlos Utrilla Guerrero, will present his lecture on the PLAYFAIR Project titled “Challenges and Solutions towards building a FAIR database for traditional games”.


Several studies have proposed semantic web technologies and FAIR approaches as a set of recommended solutions supporting better data modeling approaches, data storytelling, and increasing data reusability. The state of these technologies has become increasingly important due to the rising amount of largely unstructured humanities data, making it nearly impossible to connect to other datasets for better analysis, leading in some cases to a shortage of usefulness or reusability.


Carlos has encountered these obstacles firsthand and will focus on the solutions and tools he encountered, including CLARIAH and UM public services, and how these can be used and applied in every research to make your data more interoperable.


This session will be our first session hybrid and will take place both via Zoom and in-person on Wednesday, 25 May from 11:00-12:00. Register here (Location will be disclosed after registration)


Each lecture starts with a short Open Science/FAIR intro, followed by an inspiring lecture from a UM colleague on how they applied FAIR in their work. There will also be a short “caffeine” quiz at the end of the lecture with a chance to win a Bandito Espresso voucher!