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FAIR Principles (Findable, Accessible, Interoperable, Reusable)

The FAIR Principles aim to improve data management in research and knowledge sharing. "Findable" means that data can be easily searched and located. "Accessible" ensures that once found, data can be easily reached and obtained. "Interoperable" refers to the ability of different systems and platforms to work together using the data. Lastly, "Reusable" indicates that the data can be used again for various purposes, ideally with clear terms and conditions. Together, these principles enhance how researchers and the public can discover, use, and collaborate with data effectively.

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  • Image for FAIR Principles (Findable, Accessible, Interoperable, Reusable)

    FAIR principles promote effective data management in research and beyond. "Findable" means that data can be easily located, often through clear metadata and unique identifiers. "Accessible" ensures that data can be retrieved and used by both humans and machines, often through open access. "Interoperable" means data can work together across different systems and platforms, allowing for seamless integration. Finally, "Reusable" emphasizes that data should be organized and documented well, so it can be used for various purposes in the future, enhancing its value and applicability across different fields.