This workshop aimed to train junior scientists in implementing the FAIR principles for research data & software management & development. We want to help you identify similarities and differences between these two scientific objects and apply respectively appropriate good practices in preparing, publishing and archiving your work.
We approximately focussed on one topic / principle per day, introducing its reasoning, benefits, and (differing and/or shared) implications for proper research data/software management/development together with the learners. We followed-up the theory-leaning introductions in the mornings with discussions and live-coding sessions, using some (Software & Data) Carpentry materials to illustrate and practice a principle's implementation in the STEM disciplines ("MINT-Fächer"). Regardless of discipline, learners were encouraged to bring questions about their own data and source code, which we tried to answer during the week.
Junior scientists who wish to excel at implementing the FAIR principles for research data and scientific software. You need to have some previous knowledge of the tools that will be presented at the workshop.
Participation was free of charge. However, participants needed to organise and pay for travel and accommodation themselves. This workshop was part of an ideas competition supported by the Jülich Research Centre, and part of a grant by the German Federal Ministry of Education and Research (BMBF).
Please note: This workshop focussed on the application of the FAIR Principles on scientific data and software. Because it covered a variety of examples, it did require a basic knowledge of the tools listed in the schedule. If you are interested in learning these basics, please consider applying for one of the (non-experimental) Software and Data Carpentry workshops, or work through their material in a self-paced manner.