To Achieve FAIRness, Data Objects Should at Least Have:
(CESSDA Training Team, 2020)
A persistent identifier (PID) for the data object as a whole (see ‘Data citation’). Examples of common PIDs used in research are ORCID identifier (iD) and Digital object identifiers (DOIs). You can join DataCite if you want to register DOIs and use their services. See https://datacite.org/assets/DataCite_Brochure.pdf. In addition, see this link to create your ORCID iD.
A sufficient set of metadata (see ‘Documentation and metadata’). The term ‘documentation’ refers to all of the data and information required to interpret, comprehend, and use a dataset or a set of documents. Examples of documentation include title, description, creator, funder, keywords, and affiliation.
The following are some examples of embedded documentation:
A clear licence (see ‘Data licensing’). If you are not sure what license to apply to your work, see this link for help. The best way to decide which Creative Commons License is appropriate for you is to think about why you want to share your data, and how you hope others will use that data. For help, try the Creative Commons License Chooser.
To be made open and FAIR, data should be deposited in a data repository. Using a data repository is preferable to sharing data as supplementary files alongside a published article, or via cloud-based file storage (such as Dropbox), or maintaining data in private storage and sharing on upon request only. However, these ways of sharing data are not fully FAIR.
A data repository performs a number of specific FAIR functions:
Table 1: Examples of Data Repositories
|General-Purpose Data Sharing Repositories
|It is an online open access repository where researchers can preserve and share their research outputs, including figures, datasets, images, and videos.
|Dryad Digital Repository
|It is committed to making data available for research and educational reuse.
|It is a general-purpose open-access repository.
|Open Science Framework
|It is a free, open-source web application that connects and supports the research workflow, enabling scientists to increase the efficiency and effectiveness of their research.
|Disciplinary Data Centre and Its Component Database
|European Bioinformatics Institute
|It makes the world’s public biological data freely available to the scientific community via different services and tools.