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Considerations for the Conduction and Interpretation of FAIRness Evaluations
Author(s) -
Ricardo de Miranda Azevedo,
Michel Dumontier
Publication year - 2019
Publication title -
data intelligence
Language(s) - English
Resource type - Journals
eISSN - 2096-7004
pISSN - 2641-435X
DOI - 10.1162/dint_a_00051
Subject(s) - metadata , interpretation (philosophy) , computer science , maturity (psychological) , software , psychology , world wide web , developmental psychology , programming language
The FAIR principles were received with broad acceptance in several scientific communities. However, there is still some degree of uncertainty on how they should be implemented. Several self-report questionnaires have been proposed to assess the implementation of the FAIR principles. Moreover, the FAIRmetrics group released 14, general-purpose maturity for representing FAIRness. Initially, these metrics were conducted as open-answer questionnaires. Recently, these metrics have been implemented into a software that can automatically harvest metadata from metadata providers and generate a principle-specific FAIRness evaluation. With so many different approaches for FAIRness evaluations, we believe that further clarification on their limitations and advantages, as well as on their interpretation and interplay should be considered.

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