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

Abstract

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

CLC Number:

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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