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Research on the Management Model of Traditional Cultural Resources Driven by Big Data

Author(s)

Li Jianbo

Affiliation(s)

Zhongyuan University of Technology, Zhengzhou, Henan, China

Abstract

The purpose of this study is to solve the problems of low efficiency, incomplete protection and difficult inheritance in the current management of traditional cultural resources, and explore an optimized management model based on big data technology. Methods include literature review, case analysis, and combination of qualitative and quantitative research. The research process combs the relevant theories of traditional cultural resource management and big data, analyzes the current management status and pain points, constructs a big data-driven management model, and verifies its feasibility through typical cases. The conclusion shows that big data technology can effectively improve the efficiency of resource sorting, protection and inheritance, and the constructed model provides a feasible reference for the scientific management of traditional cultural resources.

Keywords

Big Data; Traditional Cultural Resources; Resource Management Model; Data-Driven

References

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