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Big Data and Academic Libraries: The Quest for Informed Decision-Making
portal: Libraries and the Academy ( IF 1.097 ) Pub Date : 2020-01-01 , DOI: 10.1353/pla.2020.0003
Tiffini A. Travis , Christian Ramirez

Libraries remain one of the last places on campus where the purging of usage data is encouraged and “tracking” is a dirty word. While some libraries have demonstrated the usefulness of analytics, opponents bring up issues of privacy and debate the feasibility of student-generated library data for planning and assessment. Using a study conducted at the University Library, California State University, Long Beach, the authors of this article identified practical knowledge of data research that academic librarians will benefit from understanding. Readers will learn about the role campus culture plays in data gathering, be exposed to the complexities of learning analytics and Institutional Review Board (IRB) clearance, and read how the authors weighed the ethical use of big data analysis for assessing students.

中文翻译:

大数据和学术图书馆:寻求知情决策

图书馆仍然是校园里最后一个鼓励清除使用数据的地方之一,“跟踪”是一个肮脏的词。虽然一些图书馆已经证明了分析的有用性,但反对者提出了隐私问题,并就学生生成的图书馆数据进行规划和评估的可行性进行了辩论。通过在加州州立大学长滩大学图书馆进行的一项研究,本文作者确定了学术图书馆员将从中受益的数据研究实践知识。读者将了解校园文化在数据收集中的作用,接触学习分析和机构审查委员会 (IRB) 许可的复杂性,并阅读作者如何权衡大数据分析在评估学生时的道德使用。
更新日期:2020-01-01
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