Submit data request
Before submitting a request, you are urged to familiarize yourself with the UDS study population and bear its limitations in mind when you formulate your research question and interpret your data.
There are two ways to request NACC data for research:
- The custom data request – Your data set is available for download within a week after you finalize your criteria. This method requires a few more days on the front end but saves a great amount of time on the back end. In this method, you complete a data request, working with NACC to precisely specify your data set. NACC research scientists are familiar with the variables and experienced in working with the nuances and complications of the data sets. They can help you understand your data file and ensure that you have the appropriate data to address your research question.
- The quick-access full data file – Your data set is available for download normally within a day of your request. With this request, you receive the complete UDS, Neuropathology, and APOE/genetic data sets from the latest quarterly data archive. Using this approach, you receive your data set more quickly (shortly after submitting your request and accepting the NACC data use agreement), but it will likely require more effort from you afterward in understanding the data elements.
To submit a data request, please provide the information requested below, and then click submit. You will be contacted by a NACC staff member within three business days. At that point, you will be asked to confirm your request and sign the NACC data use agreement. Note that investigator name, institution, email address, title, abstract, and key words will be displayed in the list of Ongoing and Completed Projects on the NACC website.
NACC cannot ensure that each data request and resulting data set are novel to the NACC database. It is the responsibility of the researcher, not NACC, to identify a unique research hypothesis and ensure that there is no significant overlap with other ongoing or published NACC data analyses.