In recent years, the concept of FAIR Data has grown stronger, and the European Union requires research in H2020 to follow the FAIR principles. The EU also has in its recommendations on open access to research information, stated that the Member States in their national policies should implement the FAIR principles for research data and management.
FAIR is the abbreviation of Findable, Accessible, Interoperable and Reusable so that research data could be understandable for both humans and machines both today and in the future.
In other words, this is about proper data management and increased quality in scientific production and increased reuse of research data. Research data which in high degree fulfil these principles will not necessarily be openly available, and openly available research data do automatically not meet these principles. In the first case, require ethical approval to get access to the research data, and in the second case, the documentation is missing or not acceptable for reusing the research data.
Research data should be as open as possible, with the required security and documentation needed. It could also be fulfilling the FAIR principles in varying degree, since it may not fulfil the requirement for different principles.
For more information about FAIR, visit GO FAIR and the FAIR Principles, These principles has developed during some years but originates from the article “FAIR Guiding Principles for Scientific Data Management and Stewardship in Scientific Data 2016.