♟️ Challenges and solutions towards building and visualising FAIR data for traditional games

by: Carlos Utrilla Guerrero and Vincent Emonet

Like almost all research disciplines, digital humanities is poised to enter an era of unprecedented large scale analysis powered by massive amounts of (public) digital collections and hundreds of millions of records on the web. However, this rising amount of humanities data is largely unstructured, making it nearly impossible to connect to other datasets for better analysis, and in some cases even a shortage of usefulness or reusability.

🎯 Objective

In this story, we will focus on the lessons acquired on the state of art of data modelling methodologies and digital tools, to make largely unstructured humanities data, more interoperable (the I in FAIR):

• Several studies have proposed semantic web technologies and FAIR approaches as a set of recommended solutions supporting better data modelling 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.

We will focus on the solutions and tools we encountered, including CLARIAH and UM public services, and how these can be used and applied in every research to make your own data more interoperable.