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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.
Informally called "fudging the data," this practice includes selective reporting (see also publication bias) and even simply making up false data. Examples of selective reporting abound. The easiest and most common examples involve choosing a group of results that follow a pattern consistent with the preferred hypothesis while ignoring other ...
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 ...
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 ...
Fair queuing is an example of a max-min fair packet scheduling algorithm for statistical multiplexing and best-effort networks, since it gives scheduling priority to users that have achieved lowest data rate since they became active. In case of equally sized data packets, round-robin scheduling is max-min fair.
As one example of a difficult market, consider how John Walkup, co-founder of real estate data analytics company UrbanDigs, describes things in the Big Apple. ... So if you can't get a fair ...
A data cap, often referred to as a bandwidth cap, is a restriction imposed on data transfer over a network. In particular, it refers to policies imposed by an internet service provider to limit customers' usage of their services; typically, exceeding a data cap would require the subscriber to pay additional fees.