图书馆杂志

图书馆杂志 ›› 2025, Vol. 44 ›› Issue (410): 74-82.

• 工作研究 • 上一篇    下一篇

高校图书馆数据服务的实践与启示:国际经验借鉴与本土化路径构建

朱国东(云南民族大学图书馆)   

  • 出版日期:2025-06-15 发布日期:2025-07-03
  • 作者简介:

    朱国东 云南民族大学图书馆,馆员。研究方向:数据服务、信息与数据素养的融合等。E-mail: zhuguodong7893298@yeah.net 云南昆明 650500

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

Zhu Guodong (Yunnan Minzu University Library)   

  • Online:2025-06-15 Published:2025-07-03
  • About author:Zhu Guodong (Yunnan Minzu University Library)

摘要:

大数据时代的快速发展深刻重塑了图书馆的服务模式,推动智慧数据服务成为提升数据资源开发、整合、重组与高效利用的关键手段。这类服务不仅显著优化了数据资源配置效率,还为一流学科和专业建设提供了强有力的支持。然而,高校图书馆在应用新兴技术开展数据增值服务时仍面临诸多挑战,亟需深入研究并探索可行路径。基于此,本文通过文献综述、案例分析与实证研究,系统梳理了国外顶尖高校图书馆在数据服务领域的典型实践经验,并结合实际需求,提出了一种适用于国内高校的数据服务培养模型。研究旨在为高校图书馆数据服务实践提供理论依据与可操作性策略,同时丰富科学数据服务的理论体系,为理论与实践的有机融合提供新的视角与方法。

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.