Date(s) - 04/22/2020
4:00 pm - 5:00 pm


3910 15th Ave NE
Seattle WA

*** Due to precautions being taken to curb the spread of COVID-19, this event will be held over Zoom on Wednesday, April 22nd from 4:00-5:00 PM. Please register HERE and you will be sent a link to join in advance of the event. ***


As part of the Data Then and Now seminar series, Andrea Thomer from the University of Michigan School of Information will be presenting a lecture called “Change Over Time? Fracture and Reconciliation in Natural Science Infrastructure.” Please join us April 22nd, 2020 from 4:00-5:00 PM in the Seminar Room of the WRF Data Science Studio.

Scientists in the natural histories create the frameworks, calendars and infrastructures that allow us to understand and grapple with “deep time” — but they do so within their own temporally complex scholarly settings: they draw on classification systems that are constantly facing revision and methodological revolution; database systems that simultaneously face forced obsolescence and true decay; and data collections in need of maintenance and migration. In this talk, I consider the rhythms of fracture and reconciliation in the data infrastructure in the natural sciences. This talk draws on my on-going work studying long-lived data infrastructures in memory institutions through the “Migrating Research Data Collections” project, as well as prior work studying taxonomic data practices through interface design. Some of this work has been previously published here; this talk presents emergent findings from new work, and synthesis of this prior work.

Andrea Thomer is an Assistant Professor at the University of Michigan School of Information and specializes in Information.

The Data Then and Now seminar series explores the social and organizational history of data and data practices in order to better understand the current data-intensive moment through its antecedents and continuities. It features invited speakers from across the country and around the world. For more information, please visit the Data Then and Now web page.