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2021 , Vol. 65 >Issue 16: 138 - 147

DOI: https://doi.org/10.13266/j.issn.0252-3116.2021.16.015

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FAIR数据评估模型与工具研究

  • 叶兰
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  • 深圳大学图书馆 深圳 518060
叶兰(ORCID:0000-0002-3079-5399),副研究馆员,硕士,E-mail:yel@szu.edu.cn。

收稿日期: 2020-12-29

  修回日期: 2021-03-18

  网络出版日期: 2021-08-20

基金资助

本文系教育部人文社会科学研究青年基金项目"基于成熟度视角的高校图书馆科学数据管理服务能力评价研究"（项目编号：19YJC870028）研究成果之一。

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Research on FAIR Data Assessment Models and Tools

  • Ye Lan
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  • Shenzhen University Library, Shenzhen 518060

Received date: 2020-12-29

  Revised date: 2021-03-18

  Online published: 2021-08-20

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摘要

[目的/意义] 对比分析FAIR数据评估模型与工具，为数据建设和数据管理过程中利益相关者评估FAIR数据的遵循度提供参考。[方法/过程] 通过文献综述及模型文本的研究，从评估指标和评估方法两方面介绍国际上7个评估FAIR数据遵循度的指标模型与工具，采用比较分析法从评估方法的类型、评估方法的自动化程度、评估方法的可操作性、指标数量与分布、元数据指标设置、指标清晰度等6个方面对比分析各模型与工具。[结果/结论] 基于对比与评析结果，为选择与应用FAIR数据评估模型与工具提出"FAIRsFAIR数据对象评估+FAIR数据成熟度模型"的方案。

关键词： FAIR评估; FAIR遵循度; FAIR成熟度; FAIR指标; 数据FAIR化; FAIR原则

本文引用格式

叶兰 . FAIR数据评估模型与工具研究[J]. 图书情报工作, 2021 , 65(16) : 138 -147 . DOI: 10.13266/j.issn.0252-3116.2021.16.015

Abstract

[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.

Key words： FAIR assessments; dataFAIRness; FAIR maturity; FAIR metrics; data FAIRification; FAIR principles

参考文献

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