FAIR原则全球影响分析及其实施策略建议  

Global impact analysis and implementation strategy recommendations of the FAIR principles

作　　者：王卷乐[1,5] 李扬 王淑强[3] 石蕾[4] 段博文[1] Juanle Wang;Yang Li;Shuqiang Wang;Lei Shi;Bowen Duan(State Key Laboratory of Resources and Environmental Information System,Institute of Geographic Sciences Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China;National Science Library,Chinese Academy of Sciences,Beijing 100190,China;Library of the Institute of Geographic Sciences and Human Resources,Chinese Academy of Sciences,Beijing 100101,China;National Science and Technology Infrastructure,Beijing 100862,China;Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing 210023,China)

机构地区：[1]中国科学院地理科学与资源研究所,资源与环境信息系统国家重点实验室,北京100101 [2]中国科学院文献情报中心,北京100190 [3]中国科学院地理科学与资源研究所图书馆,北京100101 [4]国家科技基础条件平台中心,北京100862 [5]江苏省地理信息资源开发与利用协同创新中心,南京210023

出　　处：《科学通报》2024年第9期1183-1191,共9页Chinese Science Bulletin

基　　金：深时数字地球(Deep-timeDigitalEarth,DDE)国际大科学计划的支持;国家重点研发计划(2022YFF0711600)资助。

摘　　要：数据是大数据时代重要的科技基础条件和战略科技资源.虽然我们生活在数据丰富的世界中,但是数据形态和大小各异,可共享使用的数据十分有限.在大数据和人工智能时代,数据共享变得越来越重要,当前国内外高度重视科学数据共享和治理.国际科学理事会(International Science Council,ISC)下属的世界数据系统(World Data System WDS)在全球拥有128个数据中心(https://www.worlddatasystem.org/community/membership).In the current era of Big Data and artificial intelligence,data sharing and its governance are increasing in importance.However,guiding scientific data governance is a major challenge in multidisciplinary situations.In this context,the FAIR(Findable,Accessible,Interoperable and Reusable)principles were proposed in a paper in 2016,“The FAIR Guiding Principles for scientific data management and stewardship”.Subsequently,the FAIR principles quickly spread across multiple domains.How many research areas and countries/regions have been impacted by this academic process?How did the dissemination process proceed?What are the direct effects of scientific data governance practices?To address these questions,we analyzed bibliometric methods and scientific data-sharing practices.The paper that introduced the FAIR principles(referred to as“cited paper”)was used to construct a retrieval type.Academic papers citing FAIR principles research,from January 1,2016 to December 31,2022,were also retrieved from the Web of Science Database.This study identified more than 300 articles on FAIR principles and 3300 papers citing the cited paper.Furthermore,we conducted a bibliometric analysis that included citation frequency,discipline-wise distribution of citations,country/region-wise distribution of citations,keyword frequency count,and keyword theme clustering.A total of 137 countries were involved in FAIR impact studies,and the countries with the highest number of publications were the United States,Germany,and the United Kingdom.They are core research countries,who have established close cooperation with most countries involved in this field.The impact mainly involves basic and cutting-edge fields,such as biology,life,materials,and medicine,with the largest number of disciplines reflected in multiple disciplines,such as computer science,biology,medicine,and environmental science.The relevant international data governance cooperation dynamics after the proposal of the FAIR principles were further analyzed from both temporal and

关 键 词：数据共享 数据中心 数据系统 大数据 MEMBERSHIP 科技基础条件 策略建议 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]