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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]
You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.
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.
Start downloading a Wikipedia database dump file such as an English Wikipedia dump. It is best to use a download manager such as GetRight so you can resume downloading the file even if your computer crashes or is shut down during the download. Download XAMPPLITE from (you must get the 1.5.0 version for it to work). Make sure to pick the file ...
The abbreviation FAIR/O data is sometimes used to indicate that the dataset or database in question complies with the principles of FAIR data and carries an explicit data‑capable open license. Overview
Currently the FTC version of the Fair Information Principles are only recommendations for maintaining privacy-friendly, consumer-oriented data collection practices, and are not enforceable by law. The enforcement of and adherence to these principles is principally performed through self-regulation.
The FAIR principles have immediately been coopted by major international organization: "FAIR experienced rapid development, gaining recognition from the European Union, G7, G20 and US-based Big Data to Knowledge (BD2K)" [46] In August 2016, the European Commission set up an expert group to turn "FAIR Data into reality". [47]
FAIR Data Principles: The development of a set of principles based on making data Findable, Accessible, Interoperable, and Reusable (FAIR) [3] Research Resource Identification Initiative (RRID): supporting new guidelines and identifiers in biomedical publications [4]