Increasingly, academic libraries are becoming more interested in visualizing collection usage statistics to demonstrate return-on-investment analyses. Data visualization provides a detailed view that connects subscription resources provided by the library to researchers, students, and faculty. Institution blinded supports its university's commitment to teaching and research by providing access to subscription based print and electronic information resources. This study used several data science techniques to create visualizations from survey data and a citation analysis to (a) assess faculty perspectives on finding information and using library resources affiliated with Montana State University (MSU); (b) examine the citation data from articles written by faculty to determine the degree to which their current collection is supporting their faculty. This article shares the results of faculty responses to this survey and how well the library supports the needs of faculty. This type of analysis informs collection development decisions and assesses the strength of the library's collection and its relationship to scholarly communication. This project is a part of the LIS Education and Data Science integrated network group It is sponsored in partnership with Drexel University and Montana State University.
|Original language||English (US)|
|Journal||ASEE Annual Conference and Exposition, Conference Proceedings|
|State||Published - Aug 23 2022|
|Event||129th ASEE Annual Conference and Exposition: Excellence Through Diversity, ASEE 2022 - Minneapolis, United States|
Duration: Jun 26 2022 → Jun 29 2022
ASJC Scopus subject areas