Developing a shared analytics service for academic libraries
Developing a shared analytics service for academic libraries
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为学术图书馆开发共享分析服务
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Ben Showers
中科院分区：
文献类型：
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作者：
Ben Showers
大学和学院拥有丰富的数据，这些数据是在学生、研究人员和工作人员与校园内的系统和服务交互时创建的。这些数据改变学生和研究人员体验、提高机构效率和效益的潜力目前被锁定在每个机构使用的多样化且复杂的数据集和系统中。即使这些数据集可用，理解它们也可能很困难并且需要大量资源。本文介绍了图书馆分析和指标项目 (LAMP) 为开发共享的全国性服务所做的努力，使机构和图书馆能够理解其不同且多样化的数据集，并使他们能够将宝贵的时间和资源用于处理这些数据，以改善学生和研究人员的体验。
Universities and colleges have a rich seam of data, created as students, researchers and staff interact with the systems and services across their campuses. The potential for this data to transform the student and researcher experience, and improve the efficiency and effectiveness of the institution, is currently locked away in the diverse and complex data sets and systems employed by each institution. Even where these data sets are available, making sense of them can be difficult and resource intensive. This article describes the efforts of the Library Analytics and Metrics Project (LAMP) to develop a shared, national service to enable institutions and libraries to make sense of their disparate and diverse data sets and enable them to spend their precious time and resources acting upon it to improve the student and researcher experience.