S-6 Community-based training on enabling data-driven science and FAIR data

S-6 Community-based training on enabling data-driven science and FAIR data

During the first year of NFDI4Ing, in the measure “Training and Education” we developed and adapted basic RDM training materials for engineers, currently in the format of self-guided trainings. These trainings were introduced to our community in our regular [SIG meetings](SIG meetings). Beyond this, the trainings are openly available in our “Education” repository at https://git.rwth-aachen.de/nfdi4ing/education. This repository is chosen because it is ‘bi-directional’: The community can receive the trainings and can give feedback via issues. This enables a stronger community integration by contributing ideas, mentioning new topics and trends, and even pointing out ambiguities and mistakes in the trainings. Having the training materials published, we were already contacted by the community how to integrate RDM into university teaching. [S-6 has 0 items on its scientific dissemination list 2021]

[S-6 has 0 items on its scientific dissemination list 2021]