The FAIR Data Maturity Model: An Approach to Harmonise FAIR Assessments

Data Science Journal

Shelley Stall¹  Keith Russell²  Carlos Casorrán-Amilburu³  Konstantinos Repanas³  Makx Dekkers⁴  Christophe Bahim⁵  Nicolas Loozen⁵  Edit Herczog⁶ 

[1] American Geophysical Union;Australian Research Data Commons;European Commission;Independent;PwC,;Vision and Values;

关键词: fair;    research data;    assessment;    digital object;    evaluation;    maturity;    data management;   

DOI  :  10.5334/dsj-2020-041

来源: DOAJ

【 摘 要 】

In the past years, many methodologies and tools have been developed to assess the FAIRness of research data. These different methodologies and tools have been based on various interpretations of the FAIR principles, which makes comparison of the results of the assessments difficult. The work in the RDA FAIR Data Maturity Model Working Group reported here has delivered a set of indicators with priorities and guidelines that provide a ‘lingua franca’ that can be used to make the results of the assessment using those methodologies and tools comparable. The model can act as a tool that can be used by various stakeholders, including researchers, data stewards, policy makers and funding agencies, to gain insight into the current FAIRness of data as well as into the aspects that can be improved to increase the potential for reuse of research data. Through increased efficiency and effectiveness, it helps research activities to solve societal challenges and to support evidence-based decisions. The Maturity Model is publicly available and the Working Group is encouraging application of the model in practice. Experience with the model will be taken into account in the further development of the model.

【 授权许可】

Unknown