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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]
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 CARE Principles for Indigenous Data Governance are a set of principles intended to guide open data projects in engaging Indigenous Peoples rights and interests. CARE was created in 2019 by the International Indigenous Data Sovereignty Interest Group, a group that is a part of the Research Data Alliance. [1]
Following the specification facilitates the documentation of privacy requirements from software conception to retirement, thereby providing a plan around adherence to privacy by design principles, and other guidance to privacy best practices, such as NIST's 800-53 Appendix J (NIST SP 800–53) and the Fair Information Practice Principles (FIPPs ...
The First Nations principles of OCAP ® establish an Indigenous data governance standard for how First Nations' data and information should be collected, protected, used, and shared. [1] OCAP ® is an acronym for the principles of ownership, control, access, and possession . [ 2 ]
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
The Principles for a Data Economy – Data Rights and Transactions is a transatlantic legal project carried out jointly by the American Law Institute (ALI) and the European Law Institute (ELI). [1] The Principles for a Data Economy deals with a range of different legal questions that arise in the data economy. [2]