地理科学进展 ›› 2007, Vol. 26 ›› Issue (5): 118-126.doi: 10.11820/dlkxjz.2007.05.013

• 地球信息科学 • 上一篇    

科学数据共享关键问题探索 ———以地球系统科学数据共享网为例

刘润达1,2, 诸云强1   

  1. 1. 中国科学院地理科学与资源研究所, 北京100101|
    2. 中国科学院研究生院, 北京100039
  • 收稿日期:2007-06-01 修回日期:2007-07-01 出版日期:2007-09-25 发布日期:2007-09-25
  • 作者简介:刘润达, 男(1980-), 河南许昌人, 博士生.研究方向: 科学数据共享, 网络信息资源整合技术等.
  • 基金资助:

    国家科技基础条件平台, 地球系统科学数据共享网(2006DKA32300).

Explor e Key Issues of Scientific Data Shar ing ———Data Shar ing Network of Ear th System Science as an Example

LIU Runda1,2, ZHU Yunqiang1   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101|
    2. Graduate School of Chinese Academy of Sciences, Beijing 100039
  • Received:2007-06-01 Revised:2007-07-01 Online:2007-09-25 Published:2007-09-25

摘要:

作为科学基础设施, 科学数据共享平台建设可促进科技原始性创新, 提高国家科技竞争 能力。本文回顾我国近年推动科学数据共享方面的工作, 指出科学数据共享实施过程中所遇到的 主要问题; 针对这些问题, 在共享理念、数据资源整合和平台建设三个方面探索科学数据共享今 后发展的重点和工作方法。具体结合地球系统科学数据共享网建设实践, 提出搭建科学数据交换 平台, 构建科学数据共享联盟; 将科学数据共享与科研项目相结合, 实行主动服务; 建立强大的科 学数据搜索引擎; 重视文档、信息服务等。

关键词: 科学数据, 数据共享, 数据联盟, 数据中介

Abstract:

As a scientific infrastructure, scientific data sharing platform can promote primitive innovation of science and technology, and improve national scientific and technological competitiveness. This paper reviews the initiatives aiming at promoting China' s scientific data sharing activities in recent years, indicates major problems in the process of its implementation, and explores the focal point of future progress and working method of scientific data sharing in aspects of ideas, data integration, and platform building. Taking the practice of Data Sharing Network of Earth System Science (DSNESS) as an example, the paper examines scientific data sharing alliances; implementation of initiative service; combination of scientific research and data sharing activities; data agents; powerful scientific data search engine; promotion of document and information services, and etc. As a result, DSNESS has integrated about 7TB scientific data and established one head- center, one authentication- center and 12 sub- centers that form a distributed data sharing network platform. Through this platform, we have provided different data sharing services for more than 20,000 users.

Key words: data agent, data sharing, data sharing alliance, scientific data