Core Collection Evaluation & Assessment Interest Group

Link to session recording

Descriptions of the presentations are below:
Using E-Resource Troubleshooting Data in Collection Evaluation & Assessment - Elyssa M. Gould (Head of Acquisitions & Continuing Resources at the University of Tennessee, Knoxville)
This presentation will share how the University of Tennessee, Knoxville Libraries incorporates electronic resource troubleshooting data into collection evaluation and assessment discussions. On July 1, 2017, the Acquisitions & Continuing Resources department began collecting standardized data about the e-resource troubleshooting tickets handled by their staff. The department has nearly four fiscal years of data describing over 3100 tickets. This data is currently shared internally with the Assessment Programs & Collection Strategy department, who makes the majority of purchase and renewal decisions, as well as the Collections Committee, who makes large purchase decisions. The data provides essential platform performance, usability, and interoperability information as related to UTK patrons, and is also used in price negotiations when performance is below standard levels.

Predicting Paper Conditions with Machine Learning - Aric Haas
Item-level collection surveys may require a number of resources that institutions may be unable to afford for regular assessment. In an effort to reduce some of the costs associated with collection assessment, I'll be exploring the applicability of machine learning for predicting paper conditions.

The Process for Developing Ethical Considerations for Assessment of Use and Reuse of Digital Objects - Caroline Muglia (Associate Dean, Specialized Collections, University of Southern California) and Santi Thompson (Head of Digital Research Services & Eva Digital Research Endowed Library Professor, University of Houston)
The multi-year IMLS-funded grant, Digital Content Reuse Assessment Framework Toolkit (D-CRAFT), addresses how we measure not only use but reuse of digital library collections. Content reuse refers to how often and in what ways digital library materials are utilized and repurposed. While most metrics and assessment methodologies address the use of materials, there remains a gap approaches and standards for assessing reuse. The grant deliverables include Ethical Considerations and Guidelines for the Assessment of Use and Reuse of Digital Content (the "Guidelines"), Recommended Practices and a suite of Engagement and Education tools for digital content reuse assessment that will be shaped by and made available to the galleries, libraries, archives, museums and data repositories (GLAMR) community.

The Guidelines propose a set of core values, principles, and guidelines for the application of reuse assessment in a manner that accounts for the cares of GLAMR and stakeholder communities and the collections that they steward. This talk will focus on the development of The Guidelines document including involvement from the D-CRAFT Advisory Group and comments received through the Open Commenting period. The talk will also focus on the intended application of The Guidelines and implementation among digital library practitioners. The talk will conclude with next steps such as hiring experts to draft sections of the Guidelines that sparked community interest.

Tips for Managing and Sharing Collections Data from Data Librarians - Wenli Gao (Data Services Librarian - University of Houston) and Reid Boehm (Research Data Management Librarian - University of Houston)
Many academic libraries provide data management services and training for researchers, but often we forget to manage our own data. Collections data comes from multiple sources such as integrated library systems, interlibrary loan platforms, or other electronic resource management systems with different formats and functions. Bringing together content from diverse platforms for a variety of purposes creates greater complexity across data collection and handling processes. In this presentation two data librarians will share basic research data management concepts, in the context of collections-related data. These include considerations for file-naming, documentation, versioning, back-up strategy, security, and access.