摘要
文章以数据管理能力成熟度评估模型(DCMM模型)为理论基础,着重探究了数字孪生技术在高校智慧图书馆数据治理的应用与价值。通过建立基于数字孪生的高校智慧图书馆数据治理模型,旨在促进图书馆数据资源的高效集聚,实现全域时空数据的深度融合与应用。该模型为推动高校图书馆数据资源体系的开放共享提供了有力支撑。文章最后结合实际案例,深入分析了符合高校智慧图书馆数字孪生数据治理需求的解决方案,以便为未来该领域的研究与应用提供有益的参考和启示。
Based on the Data Capability Maturity Model(DCMM),this paper rigorously explores the applications and value of digital twin technology in the data governance of smart university libraries.By establishing a data governance model specifically designed for these smart libraries and leveraging digital twin technology,the study aims to facilitate the efficient aggregation of library data resources and achieve in-depth integration and utilization of spatio-temporal data across the library domain.The proposed model serves as a robust foundation for promoting open sharing of data resource systems within university libraries.Concluding the paper,real-world case studies are examined to provide an in-depth analysis of solutions that meet the specific requirements of data governance in smart university libraries employing digital twin technology.The insights gleaned from this research offer valuable references and implications for future studies and applications in this field.
作者
王静
王鹏
Wang Jing;Wang Peng
出处
《图书馆学研究》
CSSCI
北大核心
2023年第11期41-50,共10页
Research on Library Science
基金
国家社会科学基金项目“基于数字孪生的高校智慧图书馆数据治理模式及机理研究”(项目编号:22BTQ023)的研究成果之一。
