National Poll on Healthy Aging data available for public use
The U-M National Poll on Healthy Aging (NPHA) publishes its data for public use on an ongoing basis to help advance research on aging. Data is available for download at the National Archive of Computerized Data on Aging (NACDA). NACDA's Open Aging Repository is a free, self-publishing option for gerontological researchers to share their research.
Gain access to highly valuable data resources and analytic expertise
IHPI researchers have many big ideas for studying how healthcare works, and how to make it better. And we’ve got the big data to help them do it. IHPI has more than 30 terabytes of data, from more than 113 million Americans. Plus, we have expert staff to help our members access, analyze and use these data and additional data resources held by IHPI member groups and the University of Michigan. In everything we do, we work to protect the security of data entrusted to us.
FOR MEMBERS: COVID-19 Data Resources
IHPI is supporting pandemic-related efforts by leveraging our strengths in pooling together data resources to help research and public engagement.
A Google sheet was created for IHPI members as a compilation of available data sources on COVID-19 around the university.
Click here for more information (U-M Level-1 login may be required).
IHPI COVID-19 Data Town Hall
Learn more about a variety of data resources available to help researchers better understand the healthcare impact of COVID-19. Electronic medical records, administrative claims, and publicly available data sources.
Watch the Town Hall (June 2020)
View all the Presentation Slides
Download the One-Pager with Important Links from the Presentations
NEW! IHPI Health Data Science Fellowship Program
The IHPI Health Data Science Fellowship Program is designed to provide hands-on opportunities to early-career data scientists with a focus on important health services and health policy questions. This program is ideal for individuals who desire a structured learning experience focused on positively impacting healthcare through data analysis.
Past Key Contributors
- Mousumi Banerjee, Ph.D., M.S., Research Professor, U-M School of Public Health
- Tim Guetterman, Ph.D., M.A., Assistant Professor of Family Medicine, U-M Medical School
- Ariel Linden, Research Specialist, UCSF School of Medicine
- Brahmajee Nallamothu, M.D., M.P.H., Professor of Internal Medicine, U-M Medical School
- Andy Ryan, Ph.D., M.A., Professor of Public Health, U-M School of Public Health