Numerous federal and state health survey databases are publicly available that are currently underutilized by research scientists, such as the National Health Interview Survey, the Health Information National Trends Survey, the California Health Interview Survey, and the Behavioral Risk Factor Surveillance System. Many of these databases capture national estimates of health-related behavior, knowledge, and attitudes. Secondary data analyses of existing databases may serve as an economical alternative to expensive and time-consuming new data collection projects and may serve as a valuable tool to test complex statistical models, perform meta-analyses and develop and test empirical hypotheses. The seminar, through lecture, applied demonstrations, and group discussion will inform participants about Internet-based health survey databases available for analysis and describe the utility and content of these databases, as well as explain how to access and analyze the data. Presentations will highlight analytic issues involved with utilizing these data, describe statistical software available to perform analyses, demonstrate the types of analyses that can be completed, describe relevant NIH funding mechanisms, and discuss the process of obtaining funding with successful applicants.