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热带海洋学报 ›› 2024, Vol. 43 ›› Issue (5): 150-157.doi: 10.11978/2023127CSTR: 32234.14.2023127

所属专题： 海洋大数据及应用

• 海洋数据专栏 • 上一篇    下一篇

南海及其附属岛礁海洋科学考察历史资料系统整编2. 数据治理技术与应用

徐超1,2(), 龙丽娟1, 李莎1,2(), 徐晓璐1,2, 袁丽1,2   

  1. 1.中国科学院南海海洋研究所, 广东 广州 510301
    2.国家地球系统科学数据中心南海及邻近海区分中心, 广东 广州 510301
  • 收稿日期:2023-08-18 修回日期:2023-10-23 出版日期:2024-09-10 发布日期:2024-10-10
  • 作者简介:

    徐超(1984—), 男, 山东省新泰市人, 博士, 高级工程师, 从事海洋信息服务研究。email:

  • 基金资助:
    国家科技基础资源调查专项(2017FY201400); 国家地球系统科学数据中心(www.geodata.cn)项目(2005DKA32300); 中国科学院“十四五”网络安全和信息化专项资助(WX145XQ06-05); 中国科学院战略性先导科技专项(A类)项目(XDA19060500); 国家重点研发计划项目(2022YFE0203500); 广东省科技计划项目(2022B1212050003); 广东省海洋经济发展(海洋六大产业)专项(粤自然资合[2022] 52号)

Systematic reorganization of historical data of scientific investigation in the South China Sea and its affiliated islands and reefs 2. data curation and application

XU Chao1,2(), LONG Lijuan1, LI Sha1,2(), XU Xiaolu1,2, YUAN Li1,2   

  1. 1. South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China
    2. South China Sea and Adjacent Seas Data Center, National Earth System Science Data Center, Guangzhou 510301, China
  • Received:2023-08-18 Revised:2023-10-23 Online:2024-09-10 Published:2024-10-10
  • Supported by:
    Science and Technology Basic Resources Investigation Program of China(2017FY201400); National Earth System Science Data Center (www.geodata.cn)(2005DKA32300); The 14th Five-year Network Security and Informatization Plan of Chinese Academy of Sciences(WX145XQ06-05); Strategic Priority Research Program of the Chinese Academy of Sciences(XDA19060500); National Key R&D Program of China(2022YFE0203500); Science and Technology Program of Guangdong Province(2022B1212050003); Guangdong Province Marine Economic Development (Six Major Marine Industries) Special Fund Project(Guangdong Natural Resources Cooperation [2022] 52)

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摘要：

在南海及其附属岛礁海洋科学考察历史资料系统整编项目实施过程中, 数据管理是一项重要工作。文章从数据管理者的角度, 以数据为研究对象, 以数据治理为研究核心, 探讨数据的科学管理工作, 构建一个简单的数据治理模型, 包含安全体系、组织体系、标准体系、资源体系、共享体系、对接体系共6大体系, 为项目数据以及南海海洋数据的数据治理工作提供保障。文章重点围绕数据安全体系、数据标准体系、数据资源体系做简要论述。

关键词: 南海, 历史资料, 系统整编, 数据治理

Abstract:

In the implementation process of the compilation project for the historical data reorganization of scientific investigation over the South China Sea and its affiliated islands and reefs, data management is an important task. From the perspective of data managers, this paper takes data as the research object and data governance as the research core content, discusses the scientific management of data, and builds a simple data governance model. This model includes six systems: security system, organization system, standard system, resource system, sharing system, and docking system. The model provides guidance for data governance of project data and the South China Sea ocean data. The article briefly discusses the security system, standard system, and resource system.

Key words: South China Sea, historical data, system reorganization, data governance