数据与计算发展前沿 ›› 2024, Vol. 6 ›› Issue (6): 43-52.

CSTR: 32002.14.jfdc.CN10-1649/TP.2024.06.005

doi: 10.11871/jfdc.issn.2096-742X.2024.06.005

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大数据驱动下的科研机构科研治理创新实践

汪洋1(),周小军1,魏鑫1,褚大伟2,郑晓欢2,彭颖2,冷伏海3,张凤3,丛培民1,吉志霞1,廖方宇1,*()   

  1. 1.中国科学院计算机网络信息中心，北京 100083
    2.中国科学院，北京 100864
    3.中国科学院科技战略咨询研究院，北京 100190
  • 收稿日期:2024-05-06 出版日期:2024-12-20 发布日期:2024-12-20
  • 通讯作者: 廖方宇
  • 作者简介:汪洋，中国科学院计算机网络信息中心信息化发展战略与评估中心主任。主要从事信息化发展战略、新型科研信息化基础平台等方面研究。先后主持、参与中国科学院信息化专项、国家信息化专家咨询委员会、中国互联网发展基金会、中国科学院学部咨询等软课题20余项。主笔并参与中国科学院“数据与计算平台”规划、中国科学院“十三五”信息化发展规划、中国科学院“十四五”网信发展规划、国家科研信息化发展战略研究等规划、报告编制工作；参与编纂《科技强国建设之路：中国与世界》。在SCI/EI、中文核心等刊物上发表学术论文20余篇。
    本文负责论文构思与主体内容撰写。
    WANG Yang, Ph.D., is the director of the Center of Information Strategy and Evaluation, Computer Network Information Center, Chinese Academy of Sciences (CAS). His major research areas are strategy research on e-Science and new pattern e-Science basic platform. He has presided over and participated in the more than 20 projects from Informatization Plan of CAS, Advisory Committee for State Informatization, China Internet Development Foundation, and Academic Divisions of CAS. He has authored and participated in the “Data and Computing Platform” plan of CAS, “The 13th Five-Year Plan for Informatization Development of CAS”, “The 14th Five-Year Plan for Informatization Development of CAS”, “National e-Science Research Strategy Research”. He has participated in the compilation of The Road to Building a Powerful Country in Science and Technology: China and the World. He has published more than 20 academic papers in SCI/EI and Chinese journals.
    In this paper, he is responsible for the thesis design and main content writing.
    E-mail: wangyang@cnic.cn|廖方宇，中国科学院计算机网络信息中心首席科学家、研究员。主要从事管理信息化与信息化战略研究。中国科学院网信咨询专家委副主任，中国计算机学会计算机安全专业委员会副主任，中国互联网协会副理事长，中国信息协会监事会监事长，以及《中国科学数据》杂志副主编等。负责中国科学院“数据与计算平台”中长期发展战略规划、中国科学院“十四五”网信发展规划等，参与编纂《科技强国建设之路：中国与世界》。曾获国家科技进步奖一等奖、北京市科技进步奖二等奖。
    本文负责论文整体架构、审定与方向把握。
    LIAO Fangyu, is a full professor and chief scientist of Computer Network Information Center, Chinese Academy of Sciences (CAS). He is also the vice chairman of the Information and Security Advisory Commitee of CAS., standing committee member of the Computer Security Professional Committee of the China Computer Federation, vice chairman of the Internet Society of China, chairman of the Supervisory Board of the China Information Association, and deputy editor-in-chief of China Scientific Data. He is responsible for the medium and long-term development strategic planning of the “Data and Computing Platform” of CAS, and the “The 14th Five-Year Plan for Informatization Development of CAS”. He has participated in the compilation of The Road to Building a Powerful Country in Science and Technology: China and the World. He has won the first prize of National Science And Technology Progress, and the second prize of Beijing Science And Technology Progress.
    In this paper, he is responsible for the overall structure, validation, and direction of the thesis.
    E-mail: fyliao@cnic.cn
  • 基金资助:
    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)

Innovative Practices of Research Governance in Research Institutions Driven by Big Data

WANG Yang1(),ZHOU Xiaojun1,WEI Xin1,CHU Dawei2,ZHENG Xiaohuan2,PENG Ying2,LENG Fuhai3,Zhang Feng3,CONG Peimin1,JI Zhixia1,LIAO Fangyu1,*()   

  1. 1. Computer Network Information Center, Chinese Academy of Sciences, Beijing 100083, China
    2. Chinese Academy of Sciences, Beijing 100864, China
    3. Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
  • Received:2024-05-06 Online:2024-12-20 Published:2024-12-20
  • Contact: LIAO Fangyu

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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。

关键词: 大数据驱动, 科研治理, 治理创新, 数字技术

Abstract:

[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.

Key words: big data driven, research governance, governance innovation, digital technology