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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.
FAIR's main document is "An Introduction to Factor Analysis of Information Risk (FAIR)", Risk Management Insight LLC, November 2006; [4] The contents of this white paper and the FAIR framework itself are released under the Creative Commons Attribution-Noncommercial-Share Alike 2.5 license. The document first defines what risk is.
Data (/ ˈ d eɪ t ə / DAY-tə, ... A solution to the problem of reproducibility is the attempt to require FAIR data, that is, data that is Findable, Accessible ...
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 ...
The FSSE is the portion of the system spectral efficiency that is shared equally among all active users (with at least one backlogged data packet in queue or under transmission). In case of scheduling starvation, the FSSE would be zero during certain time intervals. In case of equally shared resources, the FSSE would be equal to the system ...
CODATA supports the Data Science Journal [6] and collaborates on major data conferences like SciDataCon [7] and International Data Week. [8]In October 2020 CODATA is co-organising an International FAIR Symposium [9] together with the GO FAIR initiative to provide a forum for advancing international and cross-domain convergence around FAIR.
However, data has staged a comeback with the popularisation of the term big data, which refers to the collection and analyses of massive sets of data. While big data is a recent phenomenon, the requirement for data to aid decision-making traces back to the early 1970s with the emergence of decision support systems (DSS).