Data Management Inside the Library: Assessing Electronic Resources Data Using the Data Asset Framework Methodology

Abstract

Rapidly growing within academic libraries, library data services have often been focused on assessing research trends and building partnerships outside the library. There are distinct benefits, however, to using data audit methodologies created for these external assessments of researcher practices inside the library as well. In this article, we share our experiences using the Data Asset Framework (DAF) methodology as an interview protocol to audit and assess electronic resources data management and associated reports. This article provides background information on data management as a library service, outlines the methodology and interview protocols followed by the assessment team, considers the strengths and weaknesses of the DAF when used to assess library data assets, provides brief analysis of the audit results, and discusses benefits of using data audit protocols as a tool for assessing library data.

KEYWORDS:

• Data management
• data audit
• Data Audit Framework
• e-resources
• assessment
• usage statistics
• academic libraries