FAIR Data Maturity Model Specification and Guidelines. [Proposed recommendation; version for public review]

View/ Open
Average rating
votes
Date
2020Author
Herczog, Edit
Russell, Keith
Stall, Shelley
Jones, Sarah
Corporate Author
Research Data Alliance
FAIR Data Maturity WG
Status
PublishedPages
47pp.Metadata
Show full item recordAbstract
The FAIR Data Maturity Model defines a set of indicators, their priorities and evaluation methods for the evaluation of the FAIR principles to be used as a common approach across assessment methodologies. This document specifies the indicators for the FAIR assessment designed for re-use in evaluation approaches and provides 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 here is then 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. Findability, Accessibility, Interoperability and Reusability – the FAIR principles – intend to define a minimal set of relat.....
Publisher
Research Data Alliance (RDA)Document Language
enMaturity Level
Pilot or DemonstratedDOI Original
10.15497/rda00045Citation
RDA FAIR Data Maturity Model Working Group (2020) FAIR Data Maturity Model: specification and guidelines. Research Data Alliance, 47pp. DOI: 10.15497/rda00045Collections
- RDA Resources [6]
The following license files are associated with this item: