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This webinar walks you through how to get grant funding without collecting a single data point. Briana Mezuk, Ph.D., Professor of Epidemiology, and Data & Design Core Faculty Co-Lead, and Eric Simon, Ph.D., Senior Technical Writer at the Depression Center, discuss strategies for writing compelling and successful grant proposals using secondary data, including novel approaches to data analysis, writing a budget and working with a grant writer.

In this presentation, Matt Davis, Ph.D., Associate Professor in the U-M School of Nursing provides an overview of the strengths and drawbacks of several types of secondary data sources (including surveys, electronic health records and medical claims data), points to valuable data options for mental health research, and offers several practical examples to help you get started.

Learn about using mobile data in research. These are the Mobile Data Expert Network (MDEN) recordings available from the 2022-2023 academic year.

MDEN members routinely host presentations about mobile data and tools. These are the recordings available from the 2022-2023 academic year.

The Mobile Data Expert Network (MDEN) is a collaborative problem-solving network at the University of Michigan comprised of staff and junior faculty who develop and share tools and documentation that enhance the reproducibility and rigor of U-M studies using mobile devices. MDEN members routinely host presentations about mobile data and tools. These are the recordings available from the 2024-2025 academic year.

This article introduces MiNap, an application developed to serve as a prototype for sleep medicine research data collection. The article shares an overview of the problem in hand, the designed solution and its future potential in the medical research domain.

DIGIT-MI recordings from the 2022-2023 academic year. DIGIT-MI monthly meetings allow investigators across the University of Michigan to connect, learn, and share resources that encourage the increased use of digital and mobile technologies and mental wellness in research across multiple disciplines.