This study examines the documents circulated among biomedical equipment repair technicians in order to build a conceptual model that accounts for multi-layered temporality in technical healthcare professional communities. A metadata analysis informed by digital forensics and trace ethnography is employed to model the overlapping temporal, format-related, and annotation characteristics present in a corpus of repair manual files crowdsourced during collaborations between volunteer archivists and professional technicians. Based on the results of this analysis, James A. Hodges (Bullard Research Fellow, School of Information) presents findings that can assist in the development and implementation of information services and technologies for working biomedical repair technicians. Register now!
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Event Details
Date and Time
April 26, 2021, All Day