Library Science and Information Literacyscientometrics and bibliometrics researchLibrary Science and Administration

Elizabeth Szkirpan

2026.1.1PORTAL-LIBRARIES AND THE ACADEMY

DOI: 10.1353/pla.2026.a979344

Abstract

abstract:As libraries are increasingly asked to demonstrate their value in a fluctuating academic landscape, new methods of evaluation and comparison must be explored to communicate the value of the library quantitatively to university stakeholders. This exploratory study seeks to measure the impact of library services on key institutional metrics by combining multiple data sources for Research 1 (R1) university libraries and analyzing the resulting data using machine learning methods. While data availability impacted the overall outcome of this study, early analysis reveals promising correlations between library services and key university success metrics.

Citation format

SZKIRPAN, Elizabeth. Library services contributing to institutional success at r1 universities: An exploratory mixed-source quantitative model. PORTAL-LIBRARIES AND THE ACADEMY, 2026, 26(1): 47–84.