Open Science, reproducibible research, and the citation of articles, code and data alike

Too often, the methods described in research papers are not reproducible because the code and/or data are simply not provided. As a result, it is hardly possible to verify the results and build upon these works. The Open Science movement is meant to fix this by fostering the unhindered spreading of the results, methods and products of scientific research. It is based on the open access to publications, data and source codes.
In the seminar, I first touch upon the principles of Open Science and the queston of reproducibile research. Then, I focus on practical approaches to make research software and data FARC, that is Findable (using metadata), Accessible (long-time preservation), Referenceable (point to a specific version) and Citable (give credit, attribution), as well as good practices to cite others' code and data.
I finally make the point that to go further, editors must now actively support code and data ciation, evaluation metrics must change to give credit for and reward impactful code and data, and all of that shall require a true cultural shift of researchers' mindset.