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  2. FAIR data - Wikipedia

    en.wikipedia.org/wiki/FAIR_data

    An introduction to FAIR data and persistent identifiers. FAIR data is data which meets the FAIR principles of findability, accessibility, interoperability, and reusability (FAIR). [1] [2] The acronym and principles were defined in a March 2016 paper in the journal Scientific Data by a consortium of scientists and organizations. [1]

  3. Open-access repository - Wikipedia

    en.wikipedia.org/wiki/Open-access_repository

    [1] [2] [3] Data repositories are the cornerstone for FAIR (findable, accessible, interoperable and reusable) data practices and are used expeditiously within the scientific community. [ 4 ]

  4. CARE Principles for Indigenous Data Governance - Wikipedia

    en.wikipedia.org/wiki/CARE_Principles_for...

    The CARE Principles are 'people and purpose-oriented, reflecting the crucial role of data in advancing Indigenous innovation and self-determination', and intended as a complement to the data-oriented perspective of other standards such as FAIR data (findable, accessible, interoperable, reusable). [3]

  5. Open access - Wikipedia

    en.wikipedia.org/wiki/Open_access

    FAIR is an acronym for 'findable, accessible, interoperable and reusable', intended to more clearly define what is meant by the term 'open access' and make the concept easier to discuss. [47] [48] Initially proposed in March 2016, it has subsequently been endorsed by organisations such as the European Commission and the G20.

  6. Open scientific data - Wikipedia

    en.wikipedia.org/wiki/Open_scientific_data

    In the 2010s, new concepts have been introduced by scientist and policy-makers to more accurately define what open scientific data. Since its introduction in 2016, FAIR data has become a major focus of open research policies. The acronym describe an ideal-type of Findable, Accessible, Interoperable, and Reusable data.

  7. Committee on Data of the International Science Council

    en.wikipedia.org/wiki/Committee_on_Data_of_the...

    CODATA works also to advance the interoperability and the usability of such data; research data should be FAIR (findable, accessible, interoperable and reusable). [3] By promoting the policy, technological, and cultural changes that are essential to promote open science, CODATA helps advance ISC's vision and mission of advancing science as a ...

  8. SDG Publishers Compact - Wikipedia

    en.wikipedia.org/wiki/SDG_Publishers_Compact

    There are also calls to preserve and share research data sets and publication metadata as part of the publication process. The FAIR Data Principles are a framework for making research data and metadata “findable, accessible, interoperable, and reusable.” [83] [155] [156]

  9. Scientific integrity - Wikipedia

    en.wikipedia.org/wiki/Scientific_integrity

    The European Code of Conduct for Research Integrity 2023 states, for example, the principles that, "Researchers, research institutions, and organisations ensure that access to data is as open as possible, as closed as necessary, and where appropriate in line with the FAIR Principles (Findable, Accessible, Interoperable and Reusable) for data ...