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大数据驱动下的科研机构科研治理创新实践

Innovative Practices of Research Governance in Research Institutions Driven by Big Data
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摘要 【目的】大数据驱动是推进科研治理创新的重要手段。【方法】本文首先探讨了科研治理数字化转型的客观因素,无论从政策还是技术方面都已具备实现条件;然后,从大数据时代以“数据与数字技术”为核心的流程再造、及基于“开放共享与安全易用”的大数据分析两方面得出大数据驱动是科研治理创新的必然方向;最后,本文基于中国科学院大数据驱动科研治理的应用探索与具体实践,展望科研管理机构数字化转型的未来发展进程。【结论】大数据驱动科研治理创新是实现科研治理现代化的必由之路和必然选择,将为我国跻身创新型国家前列、成为世界科技创新强国提供有力支撑。 [Purpose]Big data-driven approaches are important tools for advancing innovation in research governance.[Methods]This paper first explores the objective factors for digital transformation of research governance,which are already in place to realize both in terms of policy and technology.Secondly,it concludes that big data-driven is the inevitable direction of research governance innovation from the process reengineering in the era of big data with“data and digital technology”as the core,and big data analysis based on“open sharing and safe and easy to use”.Finally,based on the application exploration and concrete practice of big data-driven research governance at the Chinese Academy of Sciences,this paper looks forward to the future development process of digital transformation of scientific research management institutions.[Conclusions]Big data-driven research governance innovation is a necessary path and inevitable choice to realize the modernization of research governance,which will provide strong support for China to be at the forefront of innovative countries and become a world power of scientific and technological innovation.
作者 汪洋 周小军 魏鑫 褚大伟 郑晓欢 彭颖 冷伏海 张凤 丛培民 吉志霞 廖方宇 WANG Yang;ZHOU Xiaojun;WEI Xin;CHU Dawei;ZHENG Xiaohuan;PENG Ying;LENG Fuhai;Zhang Feng;CONG Peimin;JI Zhixia;LIAO Fangyu(Computer Network Information Center,Chinese Academy of Sciences,Beijing 100083,China;Chinese Academy of Sciences,Beijing 100864,China;Institutes of Science and Development,Chinese Academy of Sciences,Beijing 100190,China)
出处 《数据与计算发展前沿(中英文)》 CSCD 2024年第6期43-52,共10页 Frontiers of Data & Computing
基金 中国科学院办公厅政策调研课题(ZYS-2023-10) 科学数据要素化治理及智能化应用理论与技术(CAS-WX2023ZX01-11)。
关键词 大数据驱动 科研治理 治理创新 数字技术 big data driven research governance governance innovation digital technology
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