The digital world forgets nothing, a common saying claims. However, anyone who has ever tried to find data that is only a few years old on the global web and then reuse it with up-to-date software knows that digital information can very well get lost. To ensure that this does not happen to valuable research data, numerous players in science are currently working on making this data as FAIR as...
In the training course "Reusability of Scientific Data," we focus on the 'R' in the FAIR Principles. This course was developed in collaboration with the Helmholtz Artificial Intelligence team and is specifically tailored to the Research Field Matter.
By the end of the course, participants will have a comprehensive understanding of the importance and necessity of making data reusable, a key...
