The Practice and Insights of Data Services in University Libraries: Drawing on International Experiences and Constructing Localized Pathways

Abstract

Abstract:

The rapid advancement of the big data era has profoundly reshaped library service models, positioning smart data services as a critical means of enhancing the development, integration, reorganization, and efficient utilization of data resources. Such services not only significantly optimize the efficiency of data resource distribution but also provide strong support for the construction of firstclass disciplines and academic programs. However, university libraries still face numerous difficulties in utilizing emerging technologies to conduct value-added data services, necessitating further research and exploration of feasible approaches. This study employs literature review, case analysis, and empirical research to systematically summarize the best practices of leading international university libraries in the field of data services. Combined with the actual needs of domestic universities, a data service training model tailored for domestic higher education institutions is proposed. This research provides theoretical foundations and actionable strategies for the practice of data services in university libraries, aiming to enrich the conceptual framework of scientific data services, and offer new perspectives and approaches to bridge the gap between theory and practice.

Zhu Guodong (Yunnan Minzu University Library). The Practice and Insights of Data Services in University Libraries: Drawing on International Experiences and Constructing Localized Pathways[J]. Libraly Journal, 2025, 44(410): 74-82.

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