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- access - questions about login/password, restricted data, and member-only data
- analyze - issues specific to statistical software (SAS, SPSS, Stata, R)
- deposit - how to share/deposit data
- documentation - answers on study documentation and survey instruments
- download - specific concerns related to the download process
- finding - information on the search engine and other finding aids
- general - other questions about data and documentation
- sda - information on online analysis software

Please note that DSDR's FAQs are housed on Blogger. Some links will take you to the ICPSR User Support blog. Didn't find what you were looking for? Ask a consultant.

Contact User Support

User support staff are available from 8:00 a.m. to 5:00 p.m., ET, Monday to Friday. Contact us if you cannot find the answer to your question on this site. Our goal is to respond to inquiries on the same day they are received. Many of our most frequently asked questions are available as tutorials or webinars in the Data User Help Center and are always accessible.

Phone: 734-647-2200
E-mail: netmail@icpsr.umich.edu

Need a study converted to a different format?

You can contact ICPSR User Support via this form to inquire about the possibility of ICPSR creating setup files for the study. If it is determined that ICPSR cannot create them or cannot create them within your time frame, then you are advised to seek assistance from someone on your campus with experience in the statistical package that you have chosen to use.

New to DSDR Data?

Our data use tutorial provides a quick overview of how to find, download, and analyze DSDR data.

Data User Help Center (Audio/Video Tutorials)

DSDR's Data User Help Center provides tutorials to address many of the recurring questions users have, from creating an ICPSR MyData account, to editing a setup file to read an accompanying ascii data file, to finding information about restricted versions of studies. These tutorials take the form of movie files, audio files, Powerpoint demonstrations, etc., and are meant to guide users through more complicated tasks associated with social science data research.