国内外科学数据管理FAIR原则研究进展及应用综述

doi:10.13998/j.cnki.issn1002-1248.22-0238

摘要/Abstract

摘要： [目的/意义]科学数据管理FAIR原则从2016年正式发布到目前为止引起了国内外学者的广泛关注和重视,围绕FAIR原则开展了诸多探索和研究,有力地推动了FAIR原则的实施和推广,本文旨在对相关学术成果进行系统梳理和深入总结。[方法/过程]通过文献调研和内容分析,从FAIR原则组织保障、FAIR的4个基本原则、FAIR原则的实践探索、FAIR原则的学科应用及FAIR原则的区域应用5个角度梳理国内外对FAIR原则的研究进展和实践,总结研究现状和已有成果。[结果/结论]国外对于FAIR原则的研究集中在理论、实施策略、评估方法等方面,并已在医学等学科领域展开了深入探索,相比之下,国内的研究尚在起步状态,亟需国家的政策支持和相关组织的跟进。

关键词: FAIR原则, 科学数据, 开放科学, 数据管理, 数据共享, 数据科学

Abstract: [Purpose/Significance] With the development of data-intensive scientific research paradigm, the effective discovery and reuse of scientific data is of great significance to the sharing of research results. In order to promote scientific data utilization and improve the scientific value of data resources, the international academic community proposed the FAIR principles in 2016, aiming to promote data openness, which has so far attracted widespread attention from scholars at home and abroad. Many exploratory studies have been carried out around the FAIR principles, such as GO FAIR, and RDA, CODATA and other international organizations have been established to be devoted to open science and data sharing practices; the European Union, as the representative advocate of open science, has strongly promoted the implementation and promotion of the FAIR principles by establishing the European Open Science Cloud (EOSC) and introducing data policies, etc. The purpose of this paper is to provide a systematic and comprehensive overview of the academic achievements of FAIR principles, with the aim of providing references for the promotion and implementation of the principles and scientific data management practice in China. [Method/Process] This paper combines literature research and online research, and through content analysis, provides an in-depth analysis of literature on FAIR principles in terms of content interpretation, assessment methods, domain application, discipline application and regional application. It includes five perspectives of organization guarantee on FAIR principles, four basic principles of FAIR, practical exploration, disciplinary implementation and regional practice of FAIR principles to review the research progress and implementation of FAIR principles at home and abroad, focusing on exploring the practical value of FAIR principles, and systematically summarizing the research status and existing achievements. [Results/Conclusions] International research on FAIR principles focuses on theory, implementation strategies, and evaluation methods, For example, at the level of FAIR content, the four basic principles have been explored and discussed in practice; at the level of implementation strategies, many stakeholders have taken different measures to ensure the implementation of FAIR principles, and different organizations have developed evaluation methods. In addition, FAIR principles have been explored in the fields of medicine and other disciplines and are widely used in Europe and other regions. In contrast, domestic research is still in its infancy and national policy support and follow-up by relevant organizations is needed for further study and implementation of FAIR principles in China.

Key words: FAIR principles, scientific data, open science, data management, data sharing, data science

中图分类号:

陈书贤, 刘桂锋, 刘琼. 国内外科学数据管理FAIR原则研究进展及应用综述[J]. 农业图书情报学报, 2022, 34(8): 30-41.

CHEN Shuxian, LIU Guifeng, LIU Qiong. Research Progress and Implementation of FAIR Principles for Scientific Data Management[J]. Journal of Library and Information Science in Agriculture, 2022, 34(8): 30-41.

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