Browse Items (10 total)

In preparation for a migration to a new digital asset management system, the University of Illinois Chicago (UIC) Library revamped their workflow for digital collections, taking a fresh look at how physical content that was chosen for digitization…

This poster describes the change in the UIC Library digital metadata workflow as we distributed that workflow across Special Collections and University Archives, Digital Programs and Services and Resource Acquisition Management.

In the University of Illinois Chicago (UIC) Library, the Resource Acquisition & Management (RAM), and the Special Collections & University Archives (SCUA) departments collaborated on the new workflow for digital collections, incorporating the…

This article demonstrates how taking differences in end-user behavior and differing interdepartmental perspectives on metadata into account can strengthen the digital object workflow to serve a greater variety of users. The University of Illinois…

This article is a case study that discusses the successful collaboration between three different departments within our university library to improve metadata for increased usability. The collaboration combines library faculty and staff knowledge of…

This article highlighted three presentations given at the ALCTS Role of Professional Librarians in Technical Services Interest Group Meeting at the American Library Association Midwinter Meeting in Atlanta in January 2017. These presentations…

This talk discusses the deaccession project at the University of Central Florida Libraries from the perspective of Technical Services. It first provided the project background and scope, preparation for deaccession, and different workflows tested for…

As the University Libraries at the University of Central Florida (UCF) navigate the shift towards a digital-centric era and evolving study environments, the Cataloging Department was faced with the challenging task of deaccessioning thousands of…

Librarians worldwide are exploring the integration of Large Language Models (LLM), generative AI, and machine learning to enhance bibliographic data and technical service workflows. Recent research conducted by several US and Hong Kong librarians…