FAIR Data Maturity Model: specification and guidelines

rubric

This document specifies indicators for assessing adherence to the FAIR principles. These indicators are designed for re-use in evaluation approaches and are accompanied by guidelines for their use. The guidelines are intended to assist evaluators to implement the indicators in the evaluation approach or tool they manage. The exact way to evaluate data based on the core criteria is up to the owners of the evaluation approaches, taking into account the requirements of their community. The objective is to make sure that the indicators, the maturity levels and the prioritisation are understood in the same way. The maturity model is not meant as a “how to”, but instead as a way to normalise assessment. No part of this document is to be considered ‘normative’; it intends to provide guidelines to inform assessment approaches but leaves the way it is implemented to the evaluator. FAIR Data Maturity Model Working Group (2020). FAIR Data Maturity Model: specification and guidelines. Research Data Alliance. DOI: 10.15497/RDA00050

License: Creative Commons Attribution 4.0 International (CC BY 4.0)

Tags: RDA

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Associated Metrics (41)

Metadata refers to a standard reuse licence (Important)

yesnobut

Metadata refers to a machine-understandable reuse licence (Important)

yesnobut

Metadata includes provenance information according to community-specific standards (Important)

yesnobut

Metadata includes provenance information according to a cross-community language (Useful)

yesnobut

Metadata complies with a community standard (Essential)

yesnobut

Data complies with a community standard (Essential)

yesnobut

Metadata is expressed in compliance with a machine-understandable community standard (Essential)

yesnobut

Data is expressed in compliance with a machine-understandable community standard (Important)

yesnobut


Associated Digital Objects (2)

Pangaea

FAIR assessment of EPIC

data