Findability, Accessibility, Interoperability, and Reuse of Digital Assets
= The FAIR principles "emphasize machine-actionability (i.e., the capacity of computational systems to find, access, interoperate, and reuse data with none or minimal human intervention)".
URL = https://www.go-fair.org/fair-principles/
Description
"In 2016, the ‘FAIR Guiding Principles for scientific data management and stewardship’ were published in Scientific Data. The authors intended to provide guidelines to improve the Findability, Accessibility, Interoperability, and Reuse of digital assets. The principles emphasize machine-actionability (i.e., the capacity of computational systems to find, access, interoperate, and reuse data with none or minimal human intervention) because humans increasingly rely on computational support to deal with data as a result of the increase in volume, complexity, and creation speed of data."
Principles
FAIR Principles
F1: (Meta) data are assigned globally unique and persistent identifiers
F2: Data are described with rich metadata
F3: Metadata clearly and explicitly include the identifier of the data they describe
F4: (Meta)data are registered or indexed in a searchable resource
A1: (Meta)data are retrievable by their identifier using a standardised communication protocol
A1.1: The protocol is open, free and universally implementable
A1.2: The protocol allows for an authentication and authorisation where necessary
A2: Metadata should be accessible even when the data is no longer available
I1: (Meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation
I2: (Meta)data use vocabularies that follow the FAIR principles
I3: (Meta)data include qualified references to other (meta)data
R1: (Meta)data are richly described with a plurality of accurate and relevant attributes
R1.1: (Meta)data are released with a clear and accessible data usage license
R1.2: (Meta)data are associated with detailed provenance
R1.3: (Meta)data meet domain-relevant community standards