DTL actively promotes FAIR Data Stewardship of life science information, within its partnership and in close collaboration with its international partners. FAIR stands for ‘Findable, Accessible, Interoperable, and Reusable’. The FAIR Data principles act as an international guideline for high quality data stewardship.
- Find FAIR Data technologies, consult our list of FAIR data knowledge and expertise, or use ‘The FAIR Data principles explained’ as a guide when publishing your data.
- Make your research data FAIR at a Bring Your Own Data workshop, make your research tool FAIR at a FAIR hackathon, or join a FAIR data training.
- Read more about FAIR Data or about about FAIR Data projects and initiatives: Personal Health Train, Farm Data Train, FAIRdICT, and GO FAIR.
- Read about FAIR Research Data Management.