基于数据驱动的中型政府图书馆专题除草工程案例研究

IF 0.4 Q4 INFORMATION SCIENCE & LIBRARY SCIENCE

Collection Management Pub Date : 2021-12-22 DOI:10.1080/01462679.2021.2015500

A. Hieb, Sian Seldin

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引用次数: 0

摘要

各种规模的图书馆都被承担一个主要的馆藏审查项目所吓退，特别是以一种有效的方式进行这个过程。本案例研究讨论了一个中型政府图书馆成功的数据驱动除草项目。它解释了我们如何计划项目，建立目标，创建和执行工作流，同时考虑到我们集合的独特特征。我们的项目使用了两个创新且相互关联的组件:(1)使用各种标准系统地删除我们需要保留的游戏，以及(2)使用不同输入和自动化策略的数据驱动过程，确保我们有效地做出高质量的决策。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Data-Driven Monographic Weeding Project for a Medium-Sized Government Library: A Case Study

Abstract Libraries of all sizes are daunted by taking on a major collection review project, especially conducting the process in an efficient manner. This case study discusses a medium-sized government library’s successful data-driven weeding project. It explains how we planned the project, established goals, and created and executed workflows, all while considering the unique characteristics of our collection. Our project used two innovative and interconnected components: (1) a process using various criteria to systematically remove from consideration the titles we needed to keep, and (2) a data-driven process using different inputs and automation strategies that ensured we made high-quality decisions efficiently.

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来源期刊

Collection Management INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

1.60

自引率

44.40%

发文量

期刊介绍： The management and development of library collections is constantly evolving. Collection Management is the essential refereed quarterly journal that presents practical, research-based information about building, administering, preserving, assessing, and organizing library collections. The journal offers library professionals of all types crucial guidance in the fast-changing field of collection management, including the latest developments in sharing and providing access to resources, creating digital collections, preserving both traditional and digital library resources, applying technological developments to managing collections, training and developing staff.