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  2. FAIR data - Wikipedia

    en.wikipedia.org/wiki/FAIR_data

    In April 2022, Matthias Scheffler and colleagues argued in Nature that FAIR principles are "a must" so that data mining and artificial intelligence can extract useful scientific information from the data. [21] However, making data (and research outcomes) FAIR is a challenging task, and it is challenging to assess the FAIRness. [22]

  3. Biological data visualization - Wikipedia

    en.wikipedia.org/wiki/Biological_data_visualization

    Researchers explored a community-driven initiative focused on improving the depiction of light microscopy data in scientific publications by adhering to the 'FAIR Data Principles,' which aim to enhance data findability, accessibility, interoperability, and reproducibility.

  4. FORCE11 - Wikipedia

    en.wikipedia.org/wiki/FORCE11

    FORCE11 is an international coalition of researchers, librarians, publishers and research funders working to reform or enhance the research publishing and communication system. Initiated in 2011 as a community of interest on scholarly communication, FORCE11 is a registered 501(c)(3) organization based in the United States but with members and ...

  5. Persistent identifier - Wikipedia

    en.wikipedia.org/wiki/Persistent_identifier

    An introduction to persistent identifiers and FAIR data.. A persistent identifier (PI or PID) is a long-lasting reference to a document, file, web page, or other object.. The term "persistent identifier" is usually used in the context of digital objects that are accessible over the Internet.

  6. Open scientific data - Wikipedia

    en.wikipedia.org/wiki/Open_scientific_data

    Data management has recently become a primary focus of the policy and research debate on open scientific data. The influential FAIR principles are voluntarily centered on the key features of "good data management" in a scientific context. [44] In a research context, data management is frequently associated to data lifecycles. Various models of ...

  7. Five safes - Wikipedia

    en.wikipedia.org/wiki/Five_safes

    The Five Safes is a framework for helping make decisions about making effective use of data which is confidential or sensitive. It is mainly used to describe or design research access to statistical data held by government and health agencies, and by data archives such as the UK Data Service.

  8. Data and information visualization - Wikipedia

    en.wikipedia.org/wiki/Data_and_information...

    Data presentation architecture weds the science of numbers, data and statistics in discovering valuable information from data and making it usable, relevant and actionable with the arts of data visualization, communications, organizational psychology and change management in order to provide business intelligence solutions with the data scope ...

  9. FTC fair information practice - Wikipedia

    en.wikipedia.org/wiki/FTC_fair_information_practice

    Fair Information Practice was initially proposed and named [5] by the US Secretary's Advisory Committee on Automated Personal Data Systems in a 1973 report, Records, Computers and the Rights of Citizens, [6] issued in response to the growing use of automated data systems containing information about individuals. The central contribution of the ...