A team of students partnering with Duke University Libraries will explore the complicated decision space of electronic journal licensing. Electronic resources like journal articles are a major service provided by academic libraries, but the choice of what journal subscriptions to purchase can be costly and time consuming, and journal distribution companies like Elsevier manipulate their journal bundles to maximize their own profits. This team will build a model for journal purchasing by combining several years of journal usage data (including view, downloads, authorship, citations, and impact) with journal cost data. The team will work on software to improve the data cleaning and analysis process and will create visualizations and dashboards to assist the library in its decision-making efforts. Because many libraries have the same concerns about journal bundles and use the same kinds of data to make these decisions, this project may have far-reaching impacts among academic libraries.