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Optimization of Subject Services in University Libraries through Multi-source Data Fusion: A Perspective on Interdisciplinary Research Collaboration

Author(s)

Lili Zheng

Affiliation(s)

Library of Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China

Abstract

This paper explores the application pathways and practical value of multi-source data fusion technology in optimizing subject services within university libraries from the perspective of interdisciplinary research collaboration. It systematically analyzes the new demands that interdisciplinary research places on library services, revealing the mechanisms by which multi-source data fusion operates across three dimensions: user demand analysis, service resource expansion, and service quality enhancement. Building upon this foundation, a three-dimensional optimization framework is constructed, encompassing innovations in data-driven service models, the establishment of interdisciplinary service systems, and the assurance of technological support. The study demonstrates that by developing a multi-source data fusion platform, implementing targeted services, and forming interdisciplinary service teams, libraries can significantly enhance their capacity to support interdisciplinary research.

Keywords

Multi-Source Data Fusion; Interdisciplinary Research; University Libraries; Optimization of Subject Services

References

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