[Purpose/Significance] Data-enabled intelligent transformation and knowledge discovery have become new growth points for libraries to maintain development vitality and innovate service concepts. The efficient aggregation, orderly organization, integrated utilization and open sharing of massive multi-modal and heterogeneous data in libraries through data governance have become an important driving force for the intelligent transformation of libraries. [Method/Process] Based on the needs of smart libraries in regard to data management, services, and analysis and mining, this article analyzed the connotation, problems and challenges of library data governance under the background of intelligence transformation. [Result/Conclusion] It proposes a project-driven and application-driven implementation of a library data governance system. Based on the smart library management system, the data-enabled library smart transformation goal, and the principles of “data standardization, assetization, knowledge, and intelligence”, it suggests optimizing and controlling data platform architecture, data governance organizational mechanism, data standard specification system, asset management and operation mode, full-process data security and compliance governance, and data integration application. It aims to ensure data governance can better support the development of smart libraries and facilitate the intelligence transformation of library undertakings.
Huo Ruijuan
. Exploration of Data Governance System Construction for Intelligent Transformation of Libraries[J]. Library and Information Service, 2024
, 68(22)
: 37
-44
.
DOI: 10.13266/j.issn.0252-3116.2024.22.004
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