On the 3rd of July 2020 a new website was released which takes a deep dive into the practicalities of making FAIR research data. The site is conceived as a blended learning resource targeted at researchers in all disciplines and the goal is to show how they can make their own research data more FAIR through real life examples from the Humanities, Social, Natural, and Health Sciences. The site is based on written explanations garnished with video testimonials from 9 different researchers and scie...

This blog post is authored by Elly Dijk and Marjan Grootveld (DANS),  Najla Rettberg (UGOE), Sara Pittonet (Trust-IT) Introduction In the old days, all roads led to Rome. Nowadays, they all seem to lead to FAIR data, at least in the world of research. Regardless of one's research domain, the observations, interviews, responses, measurements, statistics, software code, should be findable, accessible, interoperable and reusable (FAIR). The aim is to make and keep data FAIR for humans and...

Ilona von Stein, project leader and policy officer at DANS, writes about the importance of Data Management Training. What would happen if your data is not trusted by your own research community? What if your research community generates 2 petabyte of raw data per day, and and needs to share it between institutions? What if reuse of your data takes place in computational workflows, but data archives do not provide formats and annotations to support this? And what if you cannot find...