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This article offers a step-by-step guide to navigating the IRB for secondary data projects that use identifying information.

This article provides a step-by-step guide to navigating University of Michigan's IRB when using de-identified secondary data sources.

Secondary data is an extremely valuable tool for mental health research; however choosing a secondary data source can be a complicated task. This visual guide summarizes the major domains of 21 valuable data sources for mental health research to help you get started.

A primer on using secondary data for mental health research, including: what secondary data is, the value these sources offer, and misconceptions about their utility.

The University of Michigan's DataDirect tool offers U-M researchers customized, user-friendly access to Michigan Medicine clinical data. With options for cohort discovery, recruitment, and de-identified data output, DataDirect is a highly valuable resource for mental health research. In this article, we will walk through an example project showcasing how DataDirect can be used for clinical research at U-M.