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◇ Open MIND2026-07-31· Multidisciplinary approach

Finding Data: A Guide to Discovering and Selecting Databases

My Nguyen, Heather Owen

原始摘要(英文原文)· Original abstract
A curated, multidisciplinary guide developed through the University of Rochester Libraries summer internship program to help students, researchers, and faculty discover credible data sources for coursework, teaching, and research. The guide profiles over 20 databases and data repositories across Natural Sciences, Social Sciences, Humanities, and Multidisciplinary categories, and will continue to be updated with additional databases.Each database includes key details such as:Data type (raw, aggregate)Export file formatHow the data is found (search interfaces, filters)Documentation availabilityWhether the data is standalone or tied to published researchLevel of subject expertise neededGeographic coverageAccess requirements (free, UR login, or restricted/application-based).If you need further assistance in finding data, please reach out to the subject librarians or Data Services Team.
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Finding Data: A Guide to Discovering and Selecting Databases — 科研速览 Science Skim