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| Big Data Support System for Science and Technology Innovation Policy Analysis |
| He Defang1, Zeng Jianxun2, Chen Tao3, Pan Yuntao4, Yang Fangjuan5 |
1.China Association of Science and Technology Evaluation and Management of Scientific and Technical Achievement, Beijing 100081
2.School of Information Management, Central China Normal University, Wuhan 430079
3.Ministry of Science and Technology, Beijing 100862
4.Institute of Scientific and Technical Information of China, Beijing 100038
5.National Center for Science & Technology Evaluation, Beijing 100081 |
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Abstract Analysis of science and technology innovation policies covers the entire chain and processes of scientific and technological innovation activities. This analysis requires the utilization of big data resources, methodologies, technologies, platforms, and tools to support and empower the processes, models, and scenarios of science and technology innovation policy analysis. Building upon a clarification of the connotations of science and technology innovation policy analysis and its big data characteristics, this study expounds on the logical chain of big data to support this analysis from the perspectives of practical needs and new opportunities, the functional mechanism of big data in this context, and the framework for science and technology innovation policy analysis. Consequently, a big data support system tailored for the analysis of science and technology innovation policy is proposed, and the process of analysis based on big data is discussed on four levels: the big data resource system, refined data processing system, intelligent computing and analysis system, and evidence generation system. Finally, the study suggests continuous advancements in areas such as big data resource platforms, tool models, application environments, and theoretical methods to enhance policy analysis with support capabilities and resource infrastructure for big data evidence, methodologies, and simulation.
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Received: 22 April 2025
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