The road to FAIR data

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...
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How to make your data Open and FAIR?

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 ...
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