Project Feedback Loops: Visualizing Collection Evaluation Decisions

Abstract

ABSTRACTIn 2016, a collection assessment project evaluated print serials and book collections at Johns Hopkins University in preparation for an upcoming renovation of the Eisenhower Library. Project metrics provided librarians with both goals and measures of success that varied by humanities, social sciences, and science and engineering—such as estimated number of volumes, decision type, and the percentage of serials staying or moving out of the building. A feedback loop with data visualizations helped reduce anxiety and improve communication across library departments by illustrating volume estimates, linear feet, and shelf height by decision type. Key takeaways include lessons learned about necessary data proficiency for academic librarians and the need for better data from our library software and applications to facilitate future collection evaluation projects for weeding off-site serials.