Data-Driven Decision Making: An Holistic Approach to Assessment in Special Collections Repositories

Mark I. Greenberg, Melanie Griffin, Barbara Lewis

Research output: Contribution to journalArticlepeer-review

Abstract

In an environment of shrinking budgets and reduced staffing, this study seeks to identify a comprehensive, integrated assessment strategy to better focus diminished resources within special collections repositories.This article presents the results of a single case study conducted in the Special and Digital Collections department at a university library. The department created an holistic assessment model, taking into account both public and technical services, to explore inter-related questions affecting both day-to-day operations as well as long-term, strategic priorities.Data from a variety of assessment activities positively impacted the department’s practices, informing decisions made about staff skill sets, training, and scheduling; outreach activities; and prioritizing technical services. The results provide a comprehensive view of both patron and department needs, allowing for a wide variety of improvements and changes in staffing practices, all driven by data rather than anecdotal evidence.Although the data generated for this study is institutionally specific, the methodology is applicable to special collections departments at other institutions. A systemic, holistic approach to assessment in special collections departments enables the implementation of operational efficiencies. It also provides data that allows the department to document its value to university-wide stakeholders.
Original languageAmerican English
JournalEvidence Based Library and Information Practice
Volume8
StatePublished - 2013

Keywords

  • special collections
  • archives
  • assessment
  • data-driven decision making
  • methodology
  • public service
  • technical service
  • training
  • scheduling
  • staffing
  • outreach
  • Aeon
  • Desk Tracker
  • strategic planning

Disciplines

  • Library and Information Science

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