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)

Data identifier resolves to a digital object (Essential)

yesnobut

Metadata is accessed through standardised protocol (Essential)

yesnobut

Data is accessible through standardised protocol (Essential)

yesnobut

Data can be accessed automatically (i.e. by a computer program) (Important)

yesnobut

Metadata is accessible through a free access protocol (Essential)

yesnobut

Data is accessible through a free access protocol (Important)

yesnobut

Data is accessible through an access protocol that supports authentication and authorisation (Useful)

yesnobut

Metadata is guaranteed to remain available after data is no longer available (Essential)

yesnobut

Metadata uses knowledge representation expressed in standardised format (Important)

yesnobut

Data uses knowledge representation expressed in standardised format (Important)

yesnobut

Metadata uses machine-understandable knowledge representation (Important)

yesnobut


Associated Digital Objects (2)

Pangaea

FAIR assessment of EPIC

data