[Purpose/significance] This paper compares the main FAIR assessment models and tools in order to provide references for stakeholders in data management to assess data FAIRness.[Method/process] The metrics and the evaluation methods of each model or tool were introduced through a literature review and content analysis. The comparative analysis method was also used to evaluate FAIR assessment models and tools from 6 aspects, including types, automation, operability of FAIRness evaluation method, number and distribution of indicators, metadata indicator settings, and indicator clarity.[Result/conclusion] Based on the comparison of each model or tool, a solution of "FAIRsFAIR Data Object Assessment Metrics + RDA FAIR Data Maturity Model" is proposed for stakeholdersin data management in selecting and application of FAIR assessment models.
[1] BAHIM C, DEKKERS M, WYNS B. Results of an analysis of existing FAIR assessment tools[EB/OL].[2020-12-16].https://www.rd-alliance.org/group/fair-data-maturity-model-wg/outcomes/results-analysis-existing-fair-assessment-tool.
[2] GoFAIR. FAIR principles[EB/OL].[2020-12-16].https://www.go-fair.org/fair-principles/.
[3] WILKINSON M D, DUMONTIER M, AALBERSBERG I J, et al. The FAIR guiding principles for scientific data management and stewardship[J/OL].Scientific data,2016,3(1).[2020-12-16]. http://DOI:10.1038/sdata.2016.18.
[4] JACOBSEN A, DE MIRANDA AZEVEDO R, JUTY N, et al. FAIR principles:interpretations and implementation considerations[J]. Data intelligence, 2020, 2(1/2):10-29.
[5] JACOBSEN A, KALIYAPERUMAL R, BONINO DA SILVA SANTOS L O, et al. A generic workflow for the data FAIRification process[J]. Data intelligence, 2020, 2(1/2):56-65.
[6] GoFAIR. The three-point FAIRification framework[EB/OL].[2020-12-16].https://www.go-fair.org/how-to-go-fair/.
[7] European Commission. Turning fair into reality(2018)[R/OL].[2020-12-16].http://DOI:10.2777/1524.
[8] FAIR in practice task force of the European open science cloud FAIR working group. Six recommendations for implementation of FAIR practice[EB/OL].[2020-12-16].https://op.europa.eu/en/publication-detail/-/publication/4630fa57-1348-11eb-9a54-01aa75ed71a1/language-en/format-PDF/source-166584930.
[9] HAHNEL M, DAN V. How to easily extend the FAIRness of existing repositories[J]. Data intelligence, 2020, 2(1/2):192-198.
[10] DUNNING A, DE SMAELE M, BÖHMER J. Are the FAIR data principles fair?[J].International journal of digital curation,2017,12(2):177-195.
[11] 段青玉,王晓光.人文社科数据出版平台FAIR原则应用调查研究[J].科技与出版,2019(4):6-11.
[12] 杨啸林,杨晟, 潘虹洁,等. FAIR准则与生物医学数据标准应用服务[J]. 中国医学伦理学, 2020, 33(2):153-159.
[13] 邢文明,郭安琪,秦顺,等.科学数据管理与共享的FAIR原则——背景、内容与实施[J].信息资源管理学报, 2021, 11(2):60-67.
[14] 宋佳,温亮明,李洋.科学数据共享FAIR原则:背景、内容及实践[J].情报资料工作,2021,42(1):57-68.
[15] WILKINSON M D, SUSANNA-ASSUNTA S, SCHULTES E, et al. A design framework and exemplar metrics for FAIRness[J/OL]. Scientific data, 2018, 5.[2020-12-09]. http://DOI:10.1038/sdata.2018.118.
[16] THOMAS E. FAIR data assessment tool[EB/OL].[2020-12-09]. http://blog.ukdataservice.ac.uk/fair-data-assessment-tool/.
[17] ANDS-Nectar-RDS FAIR data assessment tool[EB/OL].[2020-12-17].https://www.ands-nectar-rds.org.au/fair-tool.
[18] FAIRMetrics/Metrics:FAIR metrics, evaluation results, and initial release of automated evaluator code[EB/OL].[2020-12-09]. https://zenodo.org/record/1305060#.X881KYq7DBl.
[19] FAIRdat[EB/OL].[2020-12-09]. https://www.surveymonkey.com/r/fairdat.
[20] CSIRO 5-star assessment tool checklist[EB/OL].[2020-12-18].http://oznome.csiro.au/5star/.
[21] Research Data Alliance FAIR Data Maturity Model Working Group. FAIR data maturity model:specification and guidelines[EB/OL].[2020-12-18].https://www.rd-alliance.org/group/fair-data-maturity-model-wg/outcomes/fair-data-maturity-model-specification-and-guidelines-0.
[22] DEVARAJU A,HUBER R,MOKRANE M,et al.FAIRsFAIR data object assessment metrics (v0.4)[EB/OL].[2020-12-15]. https://zenodo.org/record/4081213#.X7yDbIq7DBk.
[23] GENOVA F, ARONSEN JM, BEYAN O, et al. EOSC FAIR metrics-second draft for consultation[EB/OL].[2020-12-16]. https://zenodo.org/record/4106116#.X7yRZYq7DBk.
[24] F-UJI online test service[EB/OL].[2020-12-17].https://seprojects.marum.de/fuji/api/v1/ui/.
