Data Information Service Center (DISC)
DISC provides quantitative, numeric microdata for researchers and students conducting secondary analysis in the social sciences. Longitudinal surveys, macroeconomic indicators, election studies, population studies, socialization patterns, poverty measures, labor force participation, public opinion polls, education and health data, and census data comprise the scope of the collection.
SAGE Research Methods is a tool created to help researchers, faculty and students with their research projects. Users can explore methods concepts to help them design research projects, understand particular methods or identify a new method, conduct their research, and write up their findings. Since SAGE Research Methods focuses on methodology rather than disciplines, it can be used across the social sciences, health sciences, and other areas of research. Includes books, cases, dictionaries, encyclopedias, journal articles, Little Green Books, Little Blue Books, major works, and videos. Access to this database is made available through the UW-Madison Library system.
Research Data Center (WiscRDC)
WiscRDC is a branch of the U.S. Census Bureau’s Federal Statistical Research Data Center (FSRDC) network. FSRDCs make available otherwise confidential microdata from the Census Bureau, the IRS, the National Center for Health Statistics (NCHS), and the Agency for Healthcare Research and Quality (AHRQ) to investigators whose research qualifies for access.
UW-Madison Research Data Services (RDS)
Research Data Services (RDS) focus on providing researchers with the tools and resources that support their efforts to store, analyze, and share data. They can help draft and review data management plans, provide consultation on data sharing and reuse rights, and suggest digital preservation and archival concepts, and make referrals to other campus resources.
This resource is part of the Wisconsin Institute for Discovery. It provides assistance to researchers to learn about data science training opportunities, identify campus data and computing resources, and establish collaborations with data scientists and other researchers on campus.