图书馆与图书馆事业

以数据化驱动大学图书馆治理现代化:逻辑、框架与限度*

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  • (1.兰州大学图书馆   甘肃兰州   730000)
赵发珍,男,兰州大学图书馆副研究馆员;牛勇,男,兰州大学图书馆研究馆员。

收稿日期: 2023-01-23

  网络出版日期: 2023-04-16

基金资助

*本文系国家社会科学基金青年项目“图书馆循证阅读推广及读者行为干预机制研究”(项目编号:22CTQ011)研究成果之一。

Data-driven Modernization of University Library Governance:Logic,Framework and Limits

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Received date: 2023-01-23

  Online published: 2023-04-16

摘要

为了促进我国大学图书馆治理现代化,摆脱路径依赖,实现转型与超越,以技术逻辑考察有关议题具有重要的现实意义。文章在国家治理现代化视角下剖析大学图书馆治理体系及治理能力现代化双重维度,探究数据化驱动大学图书馆治理现代化的逻辑过程,并提出和分析数据化驱动大学图书馆治理现代化的发展框架及其应用限度问题。研究表明,在数据化驱动下算法、算力和算理构成了理解大学图书馆治理现代化的计算维度。通过计算来建立大学图书馆治理现代化的议程和操作方案,并推动图书馆体制机制、组织架构、方式流程、主体关系、科学决策等实现整体智治。同时需要警惕大学图书馆治理过程中陷入数据崇拜的困境,更要注意图书馆数据化与图书馆治理的耦合性问题。

本文引用格式

赵发珍 牛 勇 . 以数据化驱动大学图书馆治理现代化:逻辑、框架与限度*[J]. 图书与情报, 2023 , 43(01) : 110 -118 . DOI: 10.11968/tsyqb.1003-6938.2023012

Abstract

In order to promote the modernization of university library governance in my country, get rid of path dependence, and realize transformation and transcendence, it is of great practical significance to examine relevant issues with technical logic. From the perspective of national governance modernization, this paper analyzes the dual dimensions of university library governance system and governance capacity modernization, explores the logical process of data-driven university library governance modernization, and proposes and analyzes the development framework and application of data-driven university library governance modernization. limit problem. Research shows that, driven by data, algorithms, computing power and arithmetic constitute the computing dimension for understanding the modernization of library governance. The agenda and operation plan for the modernization of library governance are established through calculation, and the library system and mechanism, organizational structure, method and process, subject relationship, and scientific decision-making are promoted to achieve overall intellectual governance. At the same time, we need to be alert to the dilemma of data worship in the process of library governance, and pay more attention to the coupling problem between library dataization and library governance.
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