Some of you might have heard about the FAIR principles for data. Since the paper was published in 2015, it became state of the art in data sharing. But data is not all that is needed to make research more transparent. Software is another very important part.
Tackling this topic, the German National Library of Science and Technology hosted a workshop to make software also more FAIR. There have been varios posts, you can also see the complete sessions and the exercises online.
I actually liked the workshop a lot and it is worth having a look at the sessions. It also showed that there are still certain boundaries. For instance, there are no real repositories for scientific software with a search interface that can be narrowed down to scientific criteria. I also know that people are working on knowledge graphs, but right now there is often no good way to link data, software and published results. I liked the approach of Zenodo to provide and easy way to reference software and get a DOI for it, but there are not many metadata available about the software.
The workshop involved a lot of hands-on sessions, the overall principle was based on the carpentries, especially library carpentry, which is a workshop format that is completely open, so everyone can work with it and use it for their own workshops.
I learned a lot and thanks very much to the organizers.