Frontiers of Data and Computing ›› 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

• Special Issue: 30th Anniversary of the Computer Network Information Center, Chinese Academy of Sciences • Previous Articles     Next Articles

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

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