数据与计算发展前沿 ›› 2025, Vol. 7 ›› Issue (3): 3-14.

CSTR: 32002.14.jfdc.CN10-1649/TP.2025.03.001

doi: 10.11871/jfdc.issn.2096-742X.2025.03.001

• 专刊：中国科学院计算机网络信息中心成立30周年 • 上一篇    下一篇

我国科学数据发展回顾与思考

胡良霖1,2,3(),马宗文4,*(),朱艳华1,2,高瑜蔚1,2   

  1. 1.中国科学院计算机网络信息中心，北京 100083
    2.国家基础学科公共科学数据中心，北京 100083
    3.国科大杭州高等研究院，浙江 杭州 310024
    4.国家科技基础条件平台中心，北京 100038
  • 收稿日期:2025-05-27 出版日期:2025-06-20 发布日期:2025-06-25
  • 通讯作者: *马宗文（E-mail: mazw@most.cn）
  • 作者简介:胡良霖，中国科学院计算机网络信息中心正高级工程师、硕士研究生导师，国家基础学科公共科学数据中心主任、国科大杭州高等研究院岗位教授，主要研究方向为科学大数据、数据质量与大数据治理等。
    本文中负责论文整体构思、设计、撰稿和修订。
    HU Lianglin is a professor and master supervisor at the Computer Network Information Center of the Chinese Academy of Sciences, as well as the director of National Basic Science Data Center. Additionally, he serves as a professor at Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences. His primary research focuses encompass scientific big data, data quality, and big data governance.
    In this paper, He is responsible for the overall conception, design, writing, and revision of the paper.
    E-mail: hull@cnic.cn|马宗文，国家科技基础条件平台中心，副研究员，主要研究方向为科学数据政策、管理、开放共享等。
    本文中负责提供论文思路，对论文进行修改。
    MA Zongwen is an associate researcher at the National Science and Technology Infrastructure Center. His primary research focuses on scientific data policy and its management and open sharing.
    In this paper, he is responsible for thesis ideas and revising the paper.
    E-mail: mazw@most.cn
  • 基金资助:
    国家科技基础条件平台中心委托课题“国内外科学数据资源发展动态跟踪与科学数据发展报告编写”

Review and Reflections on the Development of Scientific Data in China

HU Lianglin1,2,3(),MA Zongwen4,*(),ZHU Yanhua1,2,GAO Yuwei1,2   

  1. 1. Computer Network Information Center, Chinese Academy of Sciences, Beijing 100083, China
    2. National Basic Science Data Center, Beijing 100083, China
    3. Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, Zhejiang 310024, China
    4. National Science and Technology Infrastructure Center, Beijing 100038, China
  • Received:2025-05-27 Online:2025-06-20 Published:2025-06-25

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摘要：

【目的】科学数据对科技创新与国家发展意义重大，本文旨在回顾我国科学数据发展历程，剖析现状，提出发展建议。【方法】通过梳理科技部与中国科学院共同推进科学数据工作的历程、典型特征，分析当前新需求与面临挑战，并从促供、提质、重用、创牌四个方面提出针对性策略。【结果】明确我国科学数据发展的阶段成果、现存问题以及未来发展方向，为科学数据工作相关方提供系统认识。【结论】通过实施促供、提质、重用、创牌等举措，有望突破困境，提升我国科学数据发展水平，增强在国际数据领域的影响力，为科技创新提供有力支撑。

关键词: 科学数据, AI4S, 发展建议

Abstract:

[Objective] Scientific data is of great significance for scientific and technological innovation and national development. This paper aims to review the development process of scientific data in China, analyze the current situation, and put forward development suggestions. [Methods] By combing through the development process and typical characteristics of the collaborative efforts of the Ministry of Science and Technology and the Chinese Academy of Sciences in promoting scientific data work, this paper analyze the current new demands and challenges, and proposes targeted strategies from four aspects: promoting supply, improving quality, enhancing reuse, and developing brands. [Results] The phased achievements, existing problems, and future development directions of scientific data development in China are clarified, providing a systematic understanding for stakeholders in scientific data work. [Conclusions] By implementing measures such as promoting supply, improving quality, enhancing reuse, and developing brands, it is expected to break through the current predicaments, enhance the development level of scientific data in China, strengthen its influence in the international data field, and provide strong support for scientific and technological innovation.

Key words: scientific data, AI for science, development recommendations