理论研究

图书馆智慧化转型中数据治理体系建设路径探究

  • 霍瑞娟
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  • 国家图书馆 北京 100081
霍瑞娟,研究馆员,博士,E-mail:huorj@nlc.cn。

收稿日期: 2024-05-31

  修回日期: 2024-08-05

  网络出版日期: 2024-11-25

Exploration of Data Governance System Construction for Intelligent Transformation of Libraries

  • Huo Ruijuan
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  • National Library of China, Beijing 100081

Received date: 2024-05-31

  Revised date: 2024-08-05

  Online published: 2024-11-25

摘要

[目的/意义] 数据赋能智慧转型、知识发现成为图书馆保持发展活力、创新服务理念的新增长点。通过数据治理实现图书馆海量多模异构数据的高效汇聚、有序组织、融合利用和开放共享,是图书馆智慧化转型的重要驱动力量。[方法/过程] 根据智慧图书馆对数据管理、服务和分析挖掘层面的需求,分析智慧化转型背景下图书馆数据治理的内涵以及面临的问题和挑战。[结果/结论] 提出项目建设驱动法和应用驱动法相结合的图书馆数据治理体系实施路径,基于智慧图书馆管理系统建设,立足数据赋能图书馆智慧化转型目标,以“数据标准化、数据资产化、数据知识化、数据智慧化”为导向,开展数据平台架构、数据治理组织机制、数据标准规范体系、资产管控和运营模式、全流程数据安全合规治理以及数据融合应用等方面的优化和管控,使数据治理工作能够更好地契合智慧图书馆发展目标,助力图书馆事业的智慧化转型。

本文引用格式

霍瑞娟 . 图书馆智慧化转型中数据治理体系建设路径探究[J]. 图书情报工作, 2024 , 68(22) : 37 -44 . DOI: 10.13266/j.issn.0252-3116.2024.22.004

Abstract

[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.

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