Analytics and Privacy
Denise F. Quintel, Robert Thomas Wilson
Abstract
Open-access reader
Denise F. Quintel, Robert Thomas Wilson
Abstract
Open-access reader
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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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.
Key concepts: Analytics, Web analytics, Computer science, World Wide Web, Semantic analytics, Software analytics, Data science, Cultural analytics