FAIR data
The FAIR principles are the standard for responsible data management and practicing open science. They focus on ensuring that research data are reusable, will actually be reused and will become as valuable as possible. FAIR is not only aimed at human beings but puts emphasis on enhancing the ability of machines to automatically find and use the data. FAIR stands for:
- Findable - easy discovery by both fellow researchers and computers
- Accessible - availability to others, under well-defined conditions
- Interoperable - easy integration and sharing across systems and platforms
- Reusable - others can reuse your data for new research and reproduce your results
Benefits of making data FAIR
- Better science - others can reproduce your findings, leading to more reliable, transparent, and impactful research
- Increased visibility and citations for your published articles and datasets
- Enabling new research questions to be answered
- Alignment with international standards and requirements of TU/e and funding agencies
- Increased opportunities for new partnerships with fellow researchers, as well as business, policy partners, and broader communities
FAIR data does not necessarily mean open data
FAIR does not imply that your data must be openly accessible to everyone. There could be valid reasons for restricting access to your data, such as safeguarding the privacy of participants, protecting intellectual property rights, or preserving commercial interests. The ultimate goal is to keep a balance between openness and restrictions. TU/e encourages you to make your research data ‘as open as possible and as closed as necessary’.
How to make data FAIR?
Findable | Accesible | Interoperable | Reusable |
|
|
|
|
- The FAIR Guiding Principles for scientific data management and stewardship
- FAIR software
- GO FAIR Foundation principles
- How to FAIR
- FAIR checklist
- 4TU.ResearchData guidelines for creating a README file
01. Wat houdt de studiekeuzecheck in?
01. What are the ways in which I can collaborate with TU/e innovation Space?
01. What is the TU/e open access policy?
02. Krijg ik een studiekeuzecheck bij de TU/e als ik me bij verschillende universiteiten aanmeld?
02. What is the final author version?
02. What makes a challenge suitable for TU/e innovation Space?
03. Have the correct metadata been added to my publication in the TU/e repository, so others may cite my article?
03. Hoe is de aanmeldprocedure?
04. Wat gebeurt er als ik me bij verschillende opleidingen van de TU/e aanmeld?
04. Why do I need to upload the final author version?
05. Kost de studiekeuzecheck geld?
05. Will uploading the author's version increase my visibility?
Need help?
-
Roan van Liendertdr. Mike Koning KnolBlomweg1015GZ Laag-Keppellivia65@ hotmail.nl