Skip to main content

University of Michigan School of Information

Menu
Andrea Thomer

Andrea Thomer

Assistant Professor of Information, School of Information and Faculty Associate, Inter-University Consortium for Political and Social Research, Institute for Social Reasearch Email: athomer@umich.edu Phone: 734/763-2285
Office: School of Information/3435 North Quad. 501 S. State St. Faculty Role: Faculty Potential PhD Faculty Advisor: Yes Personal website

Biography

Dr. Andrea Thomer is an assistant professor of information. She conducts interdisciplinary research in the areas of scientific data curation and data practices; "science of science" -- "meta" examinations of how scientific research gets done; and computer supported cooperative work in scholarly research settings.

She is especially interested in long-term data curation and infrastructure sustainability -- on the scale of decades rather than just years; the creation and application of data and metadata standards; the impact of information organization and structure on information use; and issues of data provenance, reproducibility, and integration.

Dr. Thomer earned her doctorate at the School of Information at the University of Illinois at Urbana‚ÄźChampaign in 2017. She has prior work experience in natural history museum curation and paleontology, which she she continues to draw on in her research.

Areas of interest

Data curation, data practices, science of science, information organization, provenance, earth science informatics, natural history museums, CSCW

Education

PhD, School of Information Sciences, University of Illinois at Urbana-Champaign, 2017

BA, UCLA, 2007

News

A graphic that congraduatles Andrea Thomer,  Abigail Jacobs, Sarita Schoenebeck and Eric Gilber
Four UMSI faculty to receive data science grants

Four UMSI faculty are among the awardees of the first round of MIDAS grants to propel data science.

More Info
Libby Hemphill
$1 million in grant funding for groundbreaking research on data curation

This project is one of the first large scale empirical studies of the impact and data curation ever conducted.

More Info