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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]
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 ...
CODATA supports the principle that data produced by research and susceptible to being used for research should be as open as possible and as closed as necessary. CODATA works also to advance the interoperability and the usability of such data; research data should be FAIR (findable, accessible, interoperable and reusable). [3]
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 ]
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. [1]
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.
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 ...
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 ...