数据与计算发展前沿 ›› 2022, Vol. 4 ›› Issue (1): 69-83.

doi: 10.11871/jfdc.issn.2096-742X.2022.01.006

• 专刊：“国家科学数据中心联合”专刊 • 上一篇    下一篇

科学数据中心间互操作模式研究

卢逸航1,2(),李国庆1,3(),陈祖刚1,3,*()   

  1. 1.中国科学院空天信息创新研究院,北京 100094
    2.中国科学院大学,北京 100049
    3.国家对地观测科学数据中心,北京 100094
  • 收稿日期:2021-10-07 出版日期:2022-02-20 发布日期:2022-03-04
  • 通讯作者: 陈祖刚
  • 作者简介:卢逸航,中国科学院空天信息创新研究院,中国科学院大学,硕士研究生,主要研究兴趣为对地观测知识挖掘。
    本文中负责总体统稿,科学数据中心间互操作的现状、分析和模式研究。
    LU Yihang is a graduate student of Aero-space Information Research Institute, Chinese Academy of Sciences. His current research interests in-clude knowledge mining on earth observation.
    In this paper, he is responsible for the overall draft, research on the current situations, analysis and proposal of interoperability models between scientific data centers. E-mail: luyihang20@mails.ucas.ac.cn|李国庆,中国科学院空天信息创新研究院,研究员,国家对地观测科学数据中心主任,主要研究方向为地球大数据管理和信息挖掘、科学数据共享,先后参加和负责国家级科研项目40多项,目前在研的科研项目8项,发表论文100多篇,专著4部,曾获得北京市科技新星。
    本文中负责科学数据中心间互操作概念框架研究。
    LI Guoqing is a professor in Aerospace Information Research Institute, Chinese Academy of Sciences and director of the National Earth Observation Science Data Center. His main research interests include earth big data management and information mining, scientific data sharing. He has participated in and taken charge of more than 40 national scientific research projects, 8 scientific research projects under research, published more than 100 papers and 4 monographs, and won the title of Beijing Science and technology star.
    In this paper, he is responsible for the research on the conce-ptual framework of interoperability between scientific data centers. E-mail: ligq@aircas.ac.cn|陈祖刚,中国科学院空天信息创新研究院,助理研究员,国家对地观测科学数据中心数据管理部主任,主要研究方向为对地观测知识挖掘。
    本文中负责提出科学数据中心间互操作的模式。
    CHEN Zugang is an Assistant Research Fellow of Aerospace Information Research Institute, Chinese Academy of Sciences and Director of Data Management Department of the National Earth Observation Data Center. His current research interests include knowledge mining on earth observation.
    In this paper, he is responsible for the proposal of the inter-operability models between scientific data centers. E-mail: chenzg@aircas.ac.cn
  • 基金资助:
    国家自然科学基金面上项目(7207041829);科学数据中心间数据交换与挖掘利用机制与模式研究项目(2020WT18)

Research on Interoperability Models between Scientific Data Centers

LU Yihang1,2(),LI Guoqing1,3(),CHEN Zugang1,3,*()   

  1. 1. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
    2. The University of Chinese Academy of Sciences, Beijing 100049, China
    3. China National Earth Observation Data Center, Beijing 100094, China
  • Received:2021-10-07 Online:2022-02-20 Published:2022-03-04
  • Contact: CHEN Zugang

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摘要：

【目的】为了满足学科交叉融合对科学数据互操作的需求,解决科学数据中心资源重复存储问题,促进跨学科数据资源的有效利用。【方法】本文调研了现有的科学数据互操作技术与模式、国内外科学数据中心间互操作的现状,分析了各种互操作模式与技术适用的条件以及我国科学数据中心的特点。【结果】最终,提出了两大类共7种科学数据中心间互操作的模式,即基于元数据收割的转接板模式、基于元数据框架的元数据信息交换站模式、基于多领域本体映射的关联数据模式、元数据映射模式、本体模式、现有系统再整合模式和统一信息化系统模式,同时提供了我国科学数据中心互操作模式的实施建议。【结论】本研究提出的科学数据中心互操作模式具有可落地性和可实施性,能大大促进交叉学科科学数据资源的共享与利用,具有非常重要的推广意义和价值。

关键词: 科学数据互操作, 科学数据中心, 互操作模式, 元数据互操作, 映射, 受控词表

Abstract:

[Objective] This paper aims to meet the need for data interoperability in cross-disciplinary scientific research, to solve the problem of duplication of data resource storage, and to promote the effective use of interdisciplinary data resources. [Methods] This paper investigates the existing scientific data interoperability technologies and models and the current status of interoperability between scientific data centers at home and abroad. The characteristics of China’s scientific data centers and the applicable conditions of various interoperable models and technologies are analyzed. [Results] Seven interoperability models are proposed, including the switching-across model based on metadata harvesting, the metadata registry model based on the metadata framework, the Linked Data model based on Multi-domain ontology mapping, the metadata mapping model, the ontology-based model, the existing system re-integration model and the unified information system model. Additionally, we provide recommendations for implementing the interoperability model of the scientific data centers in our country. [Conclusions] The interoperability models between scientific data centers proposed in this study are implementable, which can greatly promote the data sharing and utilization of cross-disciplinary scientific data resources and have great significance and value.

Key words: scientific data interoperability, scientific data center, interoperability model, metadata, mappings, controlled vocabularies