摘要
大数据技术的深入发展和应用,重构了知识供应链,改变了动力机制,缩短了知识供应链条,使图书馆等中间环节面临严峻挑战。图书馆应当深入挖掘大数据价值,强化知识组织和知识增值能力,提供高附加值服务。本文对图书馆大数据种类和效用进行系统梳理,分析概括了数据驱动型图书馆的基本特征,探讨了基于大数据的图书馆创新服务种类,指出通过构建数据驱动型图书馆服务新模式,可以有效增强图书馆在知识供应链上的主导地位,全面提高图书馆服务效率和知识增值能力。
The development and application of big data technology has reconstructed the knowledge supply chain,changed the dynamic mechanism,shortened the knowledge supply chain,and made the intermediate links such as library face severe challenges.The library should deeply explore the value of big data,strengthen knowledge organization and knowledge value-added capabilities,and provide high value-added services.This paper systematically sorts out the types and utility of big data in library,analyzes and summarizes the basic characteristics of data-driven library,and discusses the types of library innovation services based on big data.The construction of new data-driven library service model can effectively enhance the dominant position of the library in the knowledge supply chain,and comprehensively improve service efficiency and knowledge value-added ability of the library.
出处
《图书馆工作与研究》
CSSCI
北大核心
2021年第1期104-108,123,共6页
Library Work and Study
基金
邮政应用技术协同创新中心资助项目“大思政格局下高校图书馆管理服务创新研究”(项目编号:PY2020001)研究成果之一。
关键词
图书馆
大数据
数据驱动
高附加值服务
知识供应链
Library
Big data
Data driven
High value added services
Knowledge supply chain
