When selecting a web analytics tool, academic libraries have traditionally turned to Google Analytics for data collection to gain insights into the usage of their web properties. As the valuable field of data analytics continues to grow, concerns about user privacy rise as well, especially when discussing a technology giant like Google. In this article, the authors explore the feasibility of using Matomo, a free and open-source software application, for web analytics in their library’s discovery layer. Matomo is a web analytics platform designed around user-privacy assurances. This article details the installation process, makes comparisons between Matomo and Google Analytics, and describes how an open-source analytics platform works within a library-specific application, EBSCO’s Discovery Service.

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分析和隐私

在选择网络分析工具时，传统上，大学图书馆会转向Google Analytics（分析）进行数据收集，以深入了解其网络媒体资源的使用情况。随着有价值的数据分析领域的不断发展，对用户隐私的关注也日益增加，尤其是在讨论像Google这样的技术巨头时。在本文中，作者探讨了在图书馆的发现层中使用Matomo（一种免费的开源软件应用程序）进行Web分析的可行性。Matomo是一个围绕用户隐私保证设计的网络分析平台。本文详细介绍了安装过程，在Matomo和Google Analytics（分析）之间进行了比较，并描述了开源分析平台如何在特定于库的应用程序（EBSCO的发现服务）中工作。