图书情报知识 ›› 2021, Vol. 38 ›› Issue (4): 50-61.doi: 10.13366/j.dik.2021.04.050

• 图书、文献与交流 • 上一篇    下一篇

智慧图书馆数据标准体系研究

卢小宾,洪先锋,蒋玲   

  • 出版日期:2021-07-10 发布日期:2021-08-29

Research on  Data Standard System of Smart Libraries

  • Online:2021-07-10 Published:2021-08-29

摘要: [目的/意义]对智慧图书馆建设中的数据标准体系展开讨论,以期从数据标准化的视角探讨智慧图书馆在经历概念辨析、体系构建、模式创新后的“智慧”落地问题。[研究设计/方法]以智慧图书馆视域下的数据标准体系为研究对象,结合大数据理论和数据生命周期理论提出智慧图书馆数据标准体系,并通过质性分析方法对标准体系框架搭建和内容建设展开讨论。 [结论/发现] 智慧图书馆数据标准体系建设的关键在于充分融合图书馆内的资源数据、管理数据和用户数据,围绕数据生命周期模型构建科学的体系框架,同时从组织性数据标准、管理性数据标准和使用性数据标准三个方面深化标准体系的内容建设。
[创新/价值]从标准体系研究的视角,结合智慧图书馆大数据环境和数据生命周期模型,构建了智慧图书馆数据标准体系框架,就标准体系内容建设展开深入分析,相关结论能够为我国智慧图书馆数据标准体系建设提供参考。

关键词: 智慧图书馆, 数据体系, 数据标准体系, 大数据, 数据生命周期

Abstract: [Purpose/Significance]This study discusses the data standard system for the construction of smart libraries. It intends to explore the realization of "wisdom" from the perspective of data standardization in the subsequent of  the stages of concept differentiation, system development and model innovation.[Design/Methodology]Viewed from smart libraries, data standard system was deemed as the research object. The data standard system of smart libraries was proposed by combining with big data theory and data lifecycle theory. Additionally, framework development and content construction of standard system were discussed with the use of qualitative analysis method.[Findings/Conclusion]The key point of building data standard system for smart libraries is full integration of resource data, administration data and user data. Meanwhile, it is significant to develop a scientific system infrastructure based upon data lifecycle model. At the same time, content construction of the standard system needs to be improved from three aspects, which are organizational data standards, administrative data standards and usable data standards.[Originality/Value]From the perspective of studying standard system, this paper proposes a framework of smart libraries’ data standard system. By combining with smart libraries’ big data environment and data lifecycle model, an in-depth analysis has been conducted on its content construction. Conclusions of this research could provide a reference for developing data standard system of smart libraries in China.

Key words: Smart library, Data system, Data standard system, Big data, Data lifecycle