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FAIR Data principles
The FAIR (Findable, Accessible, Interoperable, Reusable) data principles are key to the construction of the European Open Science Cloud (EOSC), a virtual environment for open and seamless services for storage, management, analysis and re-use of research data.
The principles will provide the basics for the rules of participation within EOSC, moreover they will form the basis for a trusted environment where researchers, innovators, companies, and citizens can publish, find, and re-use each other’s data and tools for research, innovation, and educational purposes.
Since the first formal publication of the paper ‘The FAIR Guiding Principles for scientific data management and stewardship‘ many initiatives regarding the FAIR Principles were taken. FAIR Data is being mandated by a growing number of national research funding organisations.
Type of content:
Assets
Type of asset:
Manual / Guide
Big data potential
No
Policy domains:
Innovation, Science & Technology
Phase in the policy cycle:
Policy Implementation
Policy Monitoring and Evaluation
Open license availability
No
Website
Serves:
Addresses:
| SWOT Analysis for FAIR Data principles |
||
|---|---|---|
| Helpful | Harmful | |
Internal |
StrengthsIt offers an open and inclusive ecosystem for individuals, institutions and organisations working together through Implementation Networks. It buitls up to the notion of fair exchange of data and using the internet. |
WeaknessesDifferent legal frameworks among the countries. |
External |
OpportunitiesA huge amount of data available and under-exploited. | ThreatsCould stamble upon legal frameworks. Can be complicated to utilise. |
