前沿领域国内外典型数据库调研与启示

doi:10.19788/j.issn.2096-6369.230113

农业大数据学报 ›› 2023, Vol. 5 ›› Issue (1): 46-54.doi: 10.19788/j.issn.2096-6369.230113

前沿领域国内外典型数据库调研与启示

段博文¹(), 王卷乐^1,^2,^*(), 石蕾³, 高孟绪³

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.江苏省地理信息资源开发与利用协同创新中心，南京 210023
3.国家科技基础条件平台中心，北京 100862

收稿日期:2022-11-30 出版日期:2023-03-26 发布日期:2023-05-16
通讯作者: 王卷乐，男，研究生，研究方向：资源环境数据集成与共享；E-mail: wangjl@igsnrr.ac.cn。
作者简介:段博文，女，研究生，研究方向：环境科学；E-mail: duanbw@lreis.ac.cn。
基金资助:
国家重点研发计划项目(2022YFF0711600);国家科技基础条件平台委托任务(2020WT22)

Research and Analysis of Typical Databases in Major Frontier Fields at Domestic and International Level

DUAN Bowen¹(), WANG Juanle^1,^2,^*(), SHI Lei³, GAO Mengxu³

1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences Natural Re-sources Research, Chinese Academy of Sciences, Beijing 100101, China
2. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
3. National Science and Technology Infrastructure, Beijing 100862, China

Received:2022-11-30 Online:2023-03-26 Published:2023-05-16

摘要/Abstract

摘要：

科学数据是“数据—信息—知识—智慧”创新价值链的基础，是最基本的科技资源，对经济社会发展和科技创新起到重要作用。《中华人民共和国国民经济和社会发展第十四个五年规划和2035年远景目标纲要》部署了实施战略性科学计划和科学工程的9大前沿领域。及时掌握这些前沿领域的科学数据共享现状和需求，对于更好地加强我国科学数据中心建设并发挥数据对前沿领域的支撑作用意义重大。文章跟踪人工智能、量子信息、集成电路、生命健康、脑科学、生物育种、深地、深海以及可持续发展9大领域数据库国内外进展，从数据资源情况、数据库/平台整合能力、应用服务以及典型案例等方面进行调研分析。以在海洋和地球系统科学领域具有代表性的德国PANGAEA数据库为代表，剖析其在组织架构、技术运维和运营管理流程等方面的特点。总结提出面向我国前沿领域需求的科学数据治理和发展建议。

关键词: 数据共享, 科学数据, 数据库, PANGAEA, 前沿领域, 十四五规划

Abstract:

Science data is the basis of the innovation value chain "data-information-knowledge-wisdom", and is the most basic science and technology resource, which plays an important role in economic and social development and scientific innovation. “Outline of the 14th Five-Year Plan (2021—2025) for National Economic and Social Development and Vision 2035 of the People's Republic of China”deployed nine frontier areas for the implementation strategic science programs and science projects. A timely grasp of the current situation and demand for science data sharing in these frontier areas was significant for better strengthen the construction of China's Science Data Center and to play the role of data support for the frontier areas. This paper tracked the domestic and foreign progress in nine areas databases including artificial intelligence, quantum information, integrated circuits, life and health, brain science, biological breeding, deep earth, ocean science, and sustainable development, and investigated and analyzed from data resources, database/platform integration capabilities, application services and typical cases. The study took PANGAEA database as a representative case, which in German and in the deep sea and earth system science field, analyzed its characteristics in organizational structure, technical operation and maintenance, and operation and management process. Suggestions for scientific data governance were proposed for the requirements of frontier fields development.

Key words: data sharing, science data, database, PANGAEA, frontier areas, 14th Five-Year Plan

段博文, 王卷乐, 石蕾, 高孟绪. 前沿领域国内外典型数据库调研与启示[J]. 农业大数据学报, 2023, 5(1): 46-54.

DUAN Bowen, WANG Juanle, SHI Lei, GAO Mengxu. Research and Analysis of Typical Databases in Major Frontier Fields at Domestic and International Level[J]. Journal of Agricultural Big Data, 2023, 5(1): 46-54.

图/表 2

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前沿领域国内外典型数据库调研与启示

Research and Analysis of Typical Databases in Major Frontier Fields at Domestic and International Level

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