e-learning, Documentation
FAIRplus fellowship programme
The FAIRplus Fellowship Programme is a comprehensive training programme in FAIR data management, which was created within the FAIRplus project with a funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 802750.
The programme from FAIRplus was structured into 4 phases:
- Phase 1: Getting to know the materials and tools that are currently available, like the FAIRCookbook and the FAIRprocess
- Phase 2: Reproducing FAIRification examples
- Phase 3: Working on a personal FAIRification project
- Phase 4: Reflecting and presenting the learnings
The program was planned over a period of 8 months, combining extensive online modules and intensive in person meetings. All fellows had to apply with their own projects for the participation in the program as a requirement. There was a formal selection process of fellows by a jury.
Licence: Creative Commons Attribution Share Alike 4.0 International
Contact: Dr. Andreas Pippow Fraunhofer FIT Schloss Birlinghoven 53757 Sankt Augustin
Keywords: FAIR, data FAIRness, Data management, FAIRplus, life-sciences
Target audience: Bioinformaticians, Life Science Researchers
Resource type: e-learning, Documentation
Status: Active
Learning objectives:
benefits of FAIR data
FAIR processes
assessment of FAIRness
Driving cultural change in data management
implementing practical FAIR solutions
Date created: 2021-03-15
Date published: 2023-01-11
Contributors: Jacqueline Ullmann, Herman van Vlijmen, Alexandra Grebe de Baron, Dorothy Reilly, Md. Rezaul Karim, Alejandra Delfin-Rossaro, Gauthier Chassang, Anne Cambon-Thomsen, Laurence Mabile, Emmanuelle Rial-Sebbag, Robert Giessmann, Phil Gribbon, Ibrahim Emam, Manfred Kohler, Philippe Rocca-Serra
Activity log
