AMNESIA is a flexible data anonymization tool that allows to remove identifying information from data. It does not only remove direct identifiers like names, SSNs, etc., but also transforms secondary identifiers like birth date and zip code. This way individuals cannot be identified in the data.
A big step has been made towards international collaboration supporting Open Science and data sharing aligned with data protection and the high relevance of joint initiatives such as the European Open Science Cloud.
To make sure your data is archived securely you should look for a Trustworthy Repository.
If possible choose a certified repository that matches the needs of your data regarding file formats, access and licensing. Look for a repository that provides a persistent and globally unique identifier, guidance on data citation and clear information on costs (if any). Re3data.org can give you information on what data repositories provide in terms of information, access, licensing, persistent identifiers, policy and certificates and standards.
In case you are archiving sensitive data you should always go for a restricted license or closed access (How do I license my research data?
). You should also keep in mind that it is not always necessary to keep all your data. What you need to store will likely depend on criteria such as their uniqueness, long-term value, reuse potential and the necessary to validate results in publications.
When archiving your research data keep in mind to describe it with metadata so it can be findable for other researchers. Make sure the repository you’ve selected supports the metadata standards you are using for your data. You can find further information on metadata for research data here: What is metadata.
Remember that it can also be useful to store consent forms to the data, with restricted or closed access.