Presentation Type

Lightning Talk

Date

2021-12-02

Description

This session will serve as a brief case study of how one college special collections unit navigated a particularly transitional year in which they faced an unparalleled increase in demand for digital collections access alongside a reduction of in-house technical support for their digital repository. As at other institutions, the COVID-19 pandemic majorly impacted the operations of Smith College Special Collections (SCSC), with a switch to remote teaching, cancelled fellowship visits, and physical collections that were suddenly inaccessible. To provide the remote access to archives and special collections needed to facilitate teaching and research, SCSC spun up a digitization-on-demand workflow. Using a pseudo “assembly line” model, SCSC digitized over 70,000 pages of material from over 1200 digitization requests between August 2020 and July 2021.

Keywords

institutional repositories

DOI

10.13028/xcch-t692

Rights and Permissions

Copyright 2021 © The Author(s). This is an open access document licensed under the terms of the Creative Commons Attribution License.

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

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Dec 2nd, 1:00 PM

Dueling Repository Woes: Greater Needs, Fewer In-House Experts

This session will serve as a brief case study of how one college special collections unit navigated a particularly transitional year in which they faced an unparalleled increase in demand for digital collections access alongside a reduction of in-house technical support for their digital repository. As at other institutions, the COVID-19 pandemic majorly impacted the operations of Smith College Special Collections (SCSC), with a switch to remote teaching, cancelled fellowship visits, and physical collections that were suddenly inaccessible. To provide the remote access to archives and special collections needed to facilitate teaching and research, SCSC spun up a digitization-on-demand workflow. Using a pseudo “assembly line” model, SCSC digitized over 70,000 pages of material from over 1200 digitization requests between August 2020 and July 2021.