高校图书馆数据治理框架构建——复旦大学图书馆的实践与思考  

Construction of Data Governance Framework in Academic Libraries--Practices and Reflections of Fudan University Library

作　　者：薛崧[1,2] 张计龙 苗青[1] 任磊 毛梦丹 赵敏[1] 张耀 XUE Song;ZHANG Jilong;MIAO Qing;REN Lei;MAO Mengdan;ZHAO Min;ZHANG Yao

机构地区：[1]复旦大学图书馆,上海200433 [2]复旦—阿法迪共建智慧图书馆学研究中心,上海200433

出　　处：《大学图书馆学报》2025年第2期84-94,共11页Journal of Academic Libraries

摘　　要：在教育数字化转型和人工智能驱动的科学研究范式变革的背景下,数据治理已经成为高校图书馆提升数据管理能力、应对现代化转型发展的必然选择。以数据治理理论和相关国家标准为指导,从高校图书馆数据工作的现实问题出发,构建了包含战略引领、治理内容、治理过程、平台工具、治理规范和组织架构六个要素的高校图书馆数据治理框架,并以复旦大学图书馆实践为例,探讨数据治理的关键方法、挑战和应对建议,以期为高校图书馆的数据治理、数据赋能的实践提供参考。Under the background of the digital transformation in education and the paradigm shift in scientific research driven by artificial intelligence,data governance has become an inevitable choice for academic libraries to enhance their data management capabilities and cope with the transformation and development of modernization.Currently,research on data governance in the field of library and information science mainly conducted at the macro and theoretical levels.Few libraries consciously implement it as a systematic practice,and there is a lack of systematic guidance on data governance methods.This paper constructs a data governance framework for academic libraries based on the overall framework of GB/T 34960.5-2018,It references the key components of the general data governance framework and relevant national standards,as well as the development strategies and the challenges faced by academic libraries in current data management.The proposed framework consists of six key elements:strategic guidance,governance content,governance process,platform tools,governance norms and organizational structure.Taking the practices of Fudan University Library as an example,this paper explores key measures,challenges and countermeasures of data governance.Specific measures include:developing a data strategy to define goals,tasks,and implementation strategies;building a unified data model and implementing layered,transparent and differentiated processing to integrate multi-source heterogeneous data and create standardized,high-quality data;expanding application scenarios to drive data resource construction based on demands;improving data,models,tools,and processes through usage feedback and quality assessments to form a closed-loop governance process;constructing a comprehensive data governance platform for integration,management,and application to enhance data capabilities;gradually establishing normative documents covering management,data,technology,security,and tools to ensure that data governance is well-documented,feasible an

关 键 词：高校图书馆 数据治理 数据标准化 数据治理框架 

分 类 号：G250.7[文化科学—图书馆学]