F.A.I.R. Data Principles
Sharing data ensures that other researchers can access and use your data for further study. The FAIR data principles address the sharing of data by providing the following guidelines:
Findable: The research data record need to be discoverable by other researchers. Applying the appropriate description using general or subject specific metadata allows researchers to discover your data.
Accessible: Your data needs to be stored for the long term in an recognised storage facility such as a data repository. The data needs to be freely accessible and downloadable and useable.
Interoperable: Data and metadata needs to be written in a format that is accessible and can be interpreted by researchers and integrated with other data for analysis and processing.
Re-useable: The goal is the optimum re-use of data. Data needs to be fully described in as much detail as possible including its provenance and using community or subject specific standards.
F.A.I.R. principles apply to three aspects; the data (digital object), the metadata (a description of that object) and the infrastructure / repository where the data is stored and from which it is shared or accessed.
For more information go to Go F.A.I.R.
