Article Details

Abstract

Regional science and technology innovation capability is the core driving force supporting the high-quality development of the regional economy. With the iterative upgrading of new-generation information technologies such as artificial intelligence and big data, problems such as scattered data and delayed monitoring of science and technology innovation in Fujian Province become increasingly prominent. Establishing a systematic and dynamic science and technology innovation data monitoring system is imperative. Based on science and technology innovation statistical data of Fujian Province over the past decade, this study combines paper archive digitization technology with multi-source data integration methods to construct a monitoring system comprising three modules: data collection, analysis and storage, and editing and publishing. OLAP multi-dimensional analysis and SQL data mining are employed to enable dynamic monitoring and visual display of science and technology innovation indicators. This system can effectively improve the timeliness and consistency of Fujian's science and technology innovation data, and provide precise support for regional science and technology innovation resource allocation and policy formulation.

Keywords

regional science and technology innovation; data monitoring; Fujian Province

References

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Funding

Basic Research Project of Public Welfare Research Institutes in Fujian Province "Research on Regional Science and Technology Innovation Data Monitoring Technology - Taking Fujian Province as an Example" (2024R108008)

About the authors

Zhang Yirong (1982.10-), male, Han ethnicity, from Fuzhou, Fujian, is an engineer and a master's student. His research focuses on the statistics of scientific and technological indicators and the evaluation of innovation indicators.