In the open science movement, research data is expected to be as open as possible and as closed as necessary. But what does this mean in practice, especially when dealing with patents, personal data or other sensitive information? This lecture will present the principles of open and FAIR data, research data management and the legal, ethical and institutional frameworks that govern data sharing. Participants will gain an overview of researchers’ rights and obligations and funders’ requirements, as well as guidance on data repositories.
Manfredini et al. (2026) studied this question.
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