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.

摘要

各种规模的图书馆都对承担大型馆藏审查项目感到畏惧，尤其是以有效的方式进行流程。本案例研究讨论了一家中型政府图书馆成功的数据驱动除草项目。它解释了我们如何规划项目、确立目标以及创建和执行工作流程，同时考虑到我们系列的独特特征。我们的项目使用了两个创新且相互关联的组件：(1) 使用各种标准的流程系统地从考虑中删除我们需要保留的标题，以及 (2) 使用不同输入和自动化策略的数据驱动流程，以确保我们取得高有效地进行质量决策。