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我国科学数据发展回顾与思考

Review and Reflections on the Development of Scientific Data in China

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【作者】 胡良霖; 马宗文; 朱艳华; 高瑜蔚;

【Author】 HU Lianglin;MA Zongwen;ZHU Yanhua;GAO Yuwei;Computer Network Information Center, Chinese Academy of Sciences;National Basic Science Data Center;Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences;National Science and Technology Infrastructure Center;

【通讯作者】 马宗文;

【机构】 中国科学院计算机网络信息中心; 国家基础学科公共科学数据中心; 国科大杭州高等研究院; 国家科技基础条件平台中心;

【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。

【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.

【关键词】 科学数据; AI4S; 发展建议;
【Key words】 scientific data; AI for science; development recommendations;
【基金】 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”
  • 【文献出处】 数据与计算发展前沿(中英文) ,Frontiers of Data & Computing , 编辑部邮箱 ,2025年03期
  • 【分类号】G322
  • 【下载频次】61
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