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What are good data principles?

FAIR Data Principles

The FAIR data principles are a set of guidelines aimed at promoting the accessibility, interoperability, and reusability of research data. FAIR stands for Findable, Accessible, Interoperable, and Reusable. These principles were introduced in 2016 to address the challenges of data sharing and maximise the value of research data.



The existence of comprehensive, standard machine-readable metadata helps data satisfy the FAIR data principles:

  • Findable — metadata and data should be easy to find for both humans and computers.
  • Accessible — users need to know how the data can be accessed and what authentication/authority is needed.
  • Interoperable — data and metadata should use standards so it can interoperate with other data and information.
  • Reusable — reuse is the ultimate goal of FAIR and requires well-described contextual metadata and data, so that it can be reused and/or combined in different settings.


Reference: Australian Research Data Commons

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