摘要
数据密集型科学的一个重大挑战是如何帮助人和机器通过对科学数据的发现、访问、集成和分析以促进知识的发现。而FAIR原则(可发现,可访问,可互操作,可重用)是一套旨在提高科学数据的开放性、透明性和可重用性的准则,帮助确保正在形成中的“数据互联网”中的所有数据和相关服务对所有人(包括机器)都是可查找的、可访问的、可互操作的和可重用的。本文对FAIR原则进行解读,包括其提出背景与主要内容、实施步骤以及相关案例,以期推动我国科学数据管理与共享工作的进展。
One of the grand challenges of data-intensive science is to facilitate knowledge discovery by assisting humans and machines in their discovery of,access to,integration and analysis of scientific data.And the FAIR principle(discoverable,accessible,interoperable,reusable)is a set of guidelines aimed at improving the openness,transparency and reusability of scientific data,by providing clear guidelines that help ensure all data and associated services in the emergent“Internet of Data”will be Findable,Accessible,Interoperable and Reusable,not only by people,but notably also by machines.This paper introduces the principle of fair,including its background,main content,implementation steps and relevant cases,in order to promote the progress of scientific data management and sharing work in China.
作者
邢文明
郭安琪
秦顺
杨玲
Xing Wenming;Guo Anqi;Qin Shun;Yang Ling(School of Public Administration,Xiangtan University,XiangTan 411105;School of Information Management,Wuhan University,Wuhan 430072)
出处
《信息资源管理学报》
CSSCI
2021年第2期60-68,84,共10页
Journal of Information Resources Management
基金
湖南省教育厅优秀青年项目“我国《科学数据管理办法》实施细则与成效优化研究”(19B563)的成果之一。
