FAIR Data Principles
Do you know about the FAIR data principles – a helpful way to make research data easier to share, reuse, and trust:
F = Findable Data should be easy to locate, with clear names, descriptions, keywords, and persistent identifiers. A = Accessible People should know how to access the data, even if there are restrictions or approval steps. I = Interoperable Data should use standard formats, vocabularies, and structures so it can work across different systems and disciplines. R = Reusable Data should be well-documented, clearly licensed, and include enough context for others – and your future self – to use it properly.
In short: FAIR data is about making research outputs more transparent, useful, and ready for future discover.
By Teresa Simoes Steyn