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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]
Factor analysis of information risk (FAIR) is a taxonomy of the factors that contribute to risk and how they affect each other. It is primarily concerned with establishing accurate probabilities for the frequency and magnitude of data loss events. It is not a methodology for performing an enterprise (or individual) risk assessment.
Introduction. FTC Fair Information Practice Principles are the result of the commission's inquiry into the way in which online entities collect and use personal information and safeguards to assure that practice is fair and provides adequate information privacy protection. [2] The FTC has been studying online privacy issues since 1995, and in ...
The Pearson's chi-squared test statistic is defined as . The p-value of the test statistic is computed either numerically or by looking it up in a table. If the p-value is small enough (usually p < 0.05 by convention), then the null hypothesis is rejected, and we conclude that the observed data does not follow the multinomial distribution.
Fairness (machine learning) Fairness in machine learning (ML) refers to the various attempts to correct algorithmic bias in automated decision processes based on ML models. Decisions made by such models after a learning process may be considered unfair if they were based on variables considered sensitive (e.g., gender, ethnicity, sexual ...
Open data may include non-textual material such as maps, genomes, connectomes, chemical compounds, mathematical and scientific formulae, medical data, and practice, bioscience and biodiversity. A major barrier to the open data movement is the commercial value of data. Access to, or re-use of, data is often controlled by public or private ...
HuffPost Data Visualization, analysis, interactive maps and real-time graphics. Browse, copy and fork our open-source software. Remix thousands of aggregated polling results. Keep up with our latest on Twitter and Tumblr. Special Elections
Collection Limitation - Collection of data must be fair, lawful, and limited to the stated purpose. [ 18 ] Data minimization - Collection of data should be minimized as much as possible, and technologies should default to have users be non-identifiable and non-observable or minimized if absolutely necessary.