The FAIR principles incorporate the notion of reusability via the letter R.
This reuse can only occur if the data is well-organized, well-described, and made available to the community.
There are several objectives to sharing research data:
- it increases the visibility of the research associated with the data.
- it ensures the reproducibility of scientific results.
- it encourages new collaborations.
- it meets the requirements of many funders and certain publishers.
- it enables these data to be used in other disciplinary frameworks.
However, data sharing must be done in a reasoned way. It is not a matter of disseminating all your data immediately and indiscriminately.
Firstly, of course, the rules associated with sensitive data must be respected; not all data can be disseminated:
As open as possible as closed as necessary.
Two other concepts are also important.
- licenses LIEN
- embargoes.
An embargo is the period during which research data deposited in a data repository is not freely accessible. However, the associated metadata must be accessible to indicate the existence of the data while still protecting it
How should you share your data, and which distribution method should you choose? There are many disciplinary, thematic, and general data repositories. Data can also be distributed via data papers. Additionally, some publishers require that data linked to a publication be made available.
Using data published in Open Data as part of a new research project requires accurately citing the data’s origin, just as one would cite a publication.
- Creator(s) of the data
- date of publication, and version.
- Name of the dataset
- Data repository host
- Unique identifier (DOI), and possibly URL.