面向数据共享的地球系统科学数据分类探讨

  • 王卷乐 ,
  • 林海 ,
  • 冉盈盈 ,
  • 周玉洁 ,
  • 宋佳 ,
  • 杜佳
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  • 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 国家自然科学基金委员会 北京 100085
    3 天津国土资源和房屋职业学院 天津 300270
    4 中国矿业大学(北京) 北京 100083

王卷乐(1976-),男,河南洛阳人,副研究员,主要从事资源环境科学数据集成与共享研究. E-mail: wangjl@igsnrr.ac.cn

收稿日期: 2013-10-10

  网络出版日期: 2014-02-10

基金资助

感谢孙九林、黄鼎成、陈泮勤等对分类体系的指导。感谢高孟绪、柏中强等参与分类研讨。;国家科技基础条件平台专项项目#cod#x0201c;地球系统科学数据共享平台#cod#x0201d;(编号:2005DKA32300);中国科学院信息化专顶项目(编号:XXH12504-1-01)资助.

版权

, 2014,

A Study of Earth System Science Data Classification for Data Sharing

  • Juanle Wang ,
  • Hai Lin ,
  • Yingying Ran ,
  • Yujie Zhou ,
  • Jia Song ,
  • Jia Du
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  • 1.State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101,China
    2. National Natural Science Foundation of China, Beijing 100085,China
    3. Tianjin Land Resources and House Vocational College, Tianjin 300270, China
    4. China University of Mining & Technology (Beijing), Beijing 100083, China

Received date: 2013-10-10

  Online published: 2014-02-10

Copyright

地球科学进展 编辑部, 2014, This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.本文支持CCAL协议的开放获取,允许读者在以下情况下免费获取和使用本文内容:科研、教学、数据库索引,并标明出处。但不得用于任何商业目的。版权属于地球科学进展 编辑部

摘要

地球系统科学数据共享在国际、国内都有迫切的需求。由于地球系统科学固有的学科交叉性和综合性,如何建立科学、通用的数据分类体系是困扰该领域数据共享和服务的难题。首先综合分析了国际上地球系统科学领域主要的数据分类体系,重点对美国全球变化主目录(GCMD)分类系统及其2005#cod#x02014;2013年的演变趋势进行分析,指出当前该数据分类呈现扁平化、两极化的显著特征。在此基础上,重点梳理了国家科技基础条件平台#cod#x02014;#cod#x02014;地球系统科学数据共享平台的用户服务记录,揭示了用户访问频次最高的数据集和检索关键词。结合GCMD系统化、结构化的分类思想和国家地球系统科学数据共享平台用户化的数据服务需求,提出扁平化的地球系统科学数据目录分类和规范化的关键词表体系2种分类模式。

本文引用格式

王卷乐 , 林海 , 冉盈盈 , 周玉洁 , 宋佳 , 杜佳 . 面向数据共享的地球系统科学数据分类探讨[J]. 地球科学进展, 2014 , 29(2) : 265 -274 . DOI: 1001-8166(2014)02-0265-10

Abstract

There are urgent requirements for data sharing on Earth System Science in China and abroad. How to build a scientific and universal data classification system is a difficult problem faced by Earth System Science data sharing because there are inherent characteristics of interdisciplines and integration. Firstly, the main international Earth System Science data classification systems are comprehensively analyzed in the paper. Global Change Master Directory (GCMD) classification architecture and its change trend from 2005 to 2013 are studied in detail. Then two typical classification features nowadays are pointed out, which are flat classification trend and bipolarity feature, i.e., super simple classification and super comprehensive classification. Online data services records of Data Sharing Network of Earth System Science (DSNESS), National Scientific and Technological Infrastructure, were calculated. High frequency visiting data sets and key words querying records were listed. Classification idea was produced with the combination of GCMD system and structural classification and DSNESS's user requirements and data services in practice. Data catalog system and keyword system are proposed finally. Data catalog system has 14 first class types and 173 second class types. Besides traditional sphere structure classification, new classification with China features are added to the data catalog system, such as typical region, nature resources, and so on. Keyword system includes 13 first class types, 71 second class types and 686 keywords. According to the service practice of DSNESS, serials of typical keywords are added to keyword system, such as typical natural region in land surface, ecosystem in biosphere, economic resources in human factor, nature resources, and so on.

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