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Data-driven deselection for monographs: a rules-based approach to weeding, storage, and shared print decisions

机译:专着的数据驱动取消选择:基于规则的除草,存储和共享打印决策方法

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摘要

The value of local print book collections is changing. Even as stacks fill and library traffic grows, circulation continues to decline. Across the ‘collective collection’, millions of unused books occupy prime central campus space. Meanwhile, users want more collaborative study space and online resources. Libraries want room for information commons, teaching and learning centers and cafes. Done properly, removing unused books can free space for these and other purposes, with little impact on users. Many low-use titles are securely archived, accessible digitally, and widely held in print. Surplus copies can be removed without endangering the scholarly record. But identifying candidates for deselection is time-consuming. Batch-oriented tools that incorporate both archival and service values are needed. This article describes the characteristics of a decision-support system that assembles deselection metadata and enables library-defined rules to generate lists of titles eligible for withdrawal, storage, or inclusion in shared print programs.
机译:本地印刷书籍的价值正在变化。即使书架已满,图书馆流量也在增加,但流通量仍在下降。在“集合馆藏”中,数百万本未使用的书籍占据了主要的中央校园空间。同时,用户需要更多的协作学习空间和在线资源。图书馆要有信息共享空间,教学中心和咖啡馆。如果做得好,移除未使用的书籍可以为这些和其他目的释放空间,而对用户的影响很小。许多低使用率的书名被安全地存档,可以数字方式访问并广泛地以印刷形式保存。多余的副本可以删除而不会危害学术记录。但是,确定要取消选择的候选人非常耗时。需要结合归档和服务价值的面向批处理的工具。本文介绍了决策支持系统的特征,该系统可组合取消选择元数据并使库定义的规则能够生成适合撤回,存储或包含在共享打印程序中的标题列表。

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