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- FAIR is an acronym for findability, accessibility, interoperability, and reusability1. The term was defined in a March 2016 paper in the journal Scientific Data by a consortium of scientists and organizations1. The principles of FAIR data are used to help structure and communicate aims for data improvement2. The term is often used in the context of scientific data, and refers to data that can be discovered by both humans and machines, and is machine-actionable3.Learn more:✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.FAIR data are data which meet principles of findability, accessibility, interoperability, and reusability (FAIR). The acronym and principles were defined in a March 2016 paper in the journal Scientific Data by a consortium of scientists and organizations.en.wikipedia.org/wiki/FAIR_dataThe term ‘data improvement’ is very broad, so we adopted the FAIR principles to help structure and communicate our aims; to understand what is needed to make the data more Findable, Accessible, Interoperable and Reusable (FAIR).geospatialcommission.blog.gov.uk/2021/06/25/byt…FAIR data Findable means that the data can be discovered by both humans and machines, for instance by exposing meaningful machine-actionable metadata and keywords to search engines and research data catalogues.howtofair.dk/what-is-fair/
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