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FAIR data, reuse, reproducibility
Date of last review: 2023-03-09
In the context of Open Science, it is becoming more important to share data with other researchers, so that they can reproduce results and reuse the data to answer new research questions. This can be challenging when you work with personal data. Here, we list a few options for sharing personal data for reuse responsibly, and making datasets that contain personal data Findable, Accessible, Interoperable and Reusable (FAIR).
How you can make your dataset FAIR, from a privacy perspective, depends on which scenario applies to you:
- Your data are fully anonymised: you can publish them in a data repository.
- Your data cannot be fully anonymised, but you have a legal basis to share them for reuse: you can share them, but possibly with some restrictions.
- Your data cannot be fully anonymised, and you do not have a legal basis to share them: you cannot share them, but we discuss some alternatives.
If you are in doubt whether you can share personal data for reuse, please ask your privacy officer for help.