Research on Library Data Governance for Data Factorization
Abstract
Data factors are becoming the core driving force in the intelligent transformation of libraries. Based on a systematic review of the progress in data governance practices in libraries both domestically and internationally, this study delves into the mechanism by which data governance promotes data factorization and proposes implementation paths for data governance oriented toward data factorization. The aim is to facilitate the intelligent transformation and high-quality development of libraries.
References
Hu H, Lou C, 2019, Government Data Governance in the Context of Data Openness: Theoretical Logic and Practical Directions. Information Studies: Theory & Application, 42(7): 41–47.
Sun J, Li Y, 2024, Research on Data Elements from the Perspective of Information Resource Management Discipline. Documentation, Information & Knowledge, 41(2): 6–12.
Hu T, 2024, Research on the Mechanism and Path of Data Value Realization in the Digital and Intelligent Service Transformation of Public Libraries. Journal of the Sichuan Library, 262(6): 54–61.
Sun H, 2022, Main Issues, Conceptual Framework, and Practical Paths of Public Data Governance in Libraries. Research on Library Science, 2022(3): 11–17.
Pan Y, Zheng F, 2020, Research on the Risk Assessment Mechanism of Data Governance in China’s Public Libraries from the Perspective of Administrative Law. Research on Library Science, 2020(22): 20–26.
Jin J, 2025, AI-Driven Paradigm Reconstruction and Innovation Paths for Future Libraries. Journal of Library Science in China, 2025: 1–15.
Yan E, 2025, Mutual Empowerment Between New Quality Productivity and the Metaverse Library: Realistic Dilemmas and Development Paths. Library and Information Service, 69(17): 16–26.
