Data-Driven Collection Management in the Community College Library

The purpose of this dissertation is to examine the use of data for assessing library collection utilization, to explore what tools are available to help guide purchasing decisions, and to create a blueprint for applying percentage-based allocation formulas to community college library collection budgets. Because there is little literature on collection development practices in the community college library, the literature was explored through a scoping review. Results of the scoping review contributed to the creation of a fund allocation formula that uses variables related to the unique needs of community colleges. Using a modified action research approach, the fund allocation formula was created, applied, and reviewed in a systematic method. Impacts on multiple stakeholders in the community college library are explored using stakeholder management theory. Three community college libraries participated in the creation and implementation of this budget formula over the course of one fiscal year, and the impact on the relationship between what was purchased and what was used was measured. The findings indicate that using a fund allocation formula based on data such as historical circulation statistics, student enrollment indegree programs, and courses offered by the college results in a more user-centered collection than one where selectors (librarians) rely solely on instinct. As community college libraries continue to face budget challenges, the application of data-centered fund allocation formulas can help libraries stretch dollars and meet the needs of students in the most impactful way. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]