数据与计算发展前沿2025，Vol.7Issue(3)：111-121,11.DOI:10.11871/jfdc.issn.2096-742X.2025.03.009
FAIR原则与数据密集型科学社区应用实践研究
Research on the Application Practice of FAIR Principles in Data-Intensive Scientific Communities
摘要
Abstract
[Objective]Research in data-intensive sciences is highly dependent on data.This article aims to promote the dissemination of the concept of the FAIR principles by introducing typical cas-es of their integration into data-intensive science practices,while also providing a reference for the construction of scientific data centers in China.[Method]Taking the practice of the FAIR principles in the EU Open Data Portal,the High Energy Physics and Geoscience Com-munity as examples,we explore the constructive role of the FAIR principles in data manage-ment and summarize the experience of building data-intensive communities.[Result]The case studies show that the FAIR Principles are of good compatibility and have been rapidly adopted in the field of AI.And also,the FAIR Principles need to be integrated into current da-ta infrastructures and normative standards.[Conclusions]The FAIR principles have been gradually adopted by international scientific research institutions and demonstrated their effectiveness in data-intensive scientific re-search fields.In contrast,the promotion of the FAIR principles in China faces numerous challenges,including regulation,data infrastructure,cross-disciplinary FAIR implementation,and cultural awareness.关键词
数据密集型科学/FAIR原则/应用实践/数据管理Key words
data intensive science/FAIR principles/application practice/data management引用本文复制引用
姜恩波,方肖,秦瑜..FAIR原则与数据密集型科学社区应用实践研究[J].数据与计算发展前沿,2025,7(3):111-121,11.基金项目
中国科学院文献情报能力建设专项——科技态势感知与分析能力建设 （）
