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Connecting the Silos: Systematic Data Collection for Library and Collections Assessment

机译：连接Silos：库和集合评估的系统数据收集

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Assessment has gained greater prominence in library administration in the last decade. Whereas "library assessment" is associated with services, notably instructional or reference, collection assessment has evolved to its own specialty. The methods are largely quantitative and thus require extensive data sets, the management of which has required greater sophistication and technical expertise than in years past. Assessment, regardless of focus, is a data-intensive task. In order to make that judgment (of quality, meeting needs, educational attainment, etc.), evidence is needed. Bringing the data together in a manner that is effective and efficient has become a priority for organizations that need to assess on a regular basis. In this paper, I will describe the attempt we have made at The University of North Texas Libraries to organize data relevant for assessing our subject-based collections. This data are varied in formats, location, ownership, update frequency, and original purpose. I will present our most recent data model, our current methods of collecting, organizing, analyzing the data, and presenting results, as well as our plans for the future, which will include extending the reach of our connections.
机译：在过去十年中，评估在图书馆管理方面取得了更大的突出。虽然“图书馆评估”与服务有关，但值得注意的教学或参考，收集评估已经发展到自己的专业。这些方法在很大程度上是定量的，因此需要广泛的数据集，其管理在其上需要更高的复杂性和技术专业知识。无论焦点如何，评估是一种数据密集型任务。为了使判断（质量，会议需求，教育程度等），需要证据。以有效且有效的方式将数据携带在一起成为需要定期评估的组织的优先事项。在本文中，我将描述我们在北德克萨斯大学图书馆制造的尝试，以组织有关评估基于主题的收集的数据。此数据以格式，位置，所有权，更新频率和原始目的而变化。我将展示我们最近的数据模型，我们目前的收集，组织，分析数据以及提出结果，以及我们对未来的计划，这将包括扩展我们联系的范围。

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