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This resource guide was developed for attendees of the MeTRIC Symposium at the University of Michigan held on November 1st, 2024. MeTRIC is a campus-wide collaboration designed to foster knowledge sharing and create a single access point for University of Michigan investigators who are looking to use wearables, apps, or other mobile technologies in their health research.

Information security is an important aspect of any study utilizing mobile technologies because these studies require data to be transferred from a 3rd party into the university computing environment. Transferring data through the firewall creates vulnerabilities that need to be managed appropriately. This article provides information and resources for investigators that will help them navigate the complex and ever-changing landscape of data security at Michigan.

A small selection of wearable and nearable devices displayed at the 2024 University of Michigan's MeTRIC Symposium.

Hiring the right person for any position can be challenging, but this is especially true for research teams involved in mobile health (mHealth) studies. These projects often require a unique skill set to handle data management and technical hurdles that differ significantly from traditional research support roles. In this article, we explore the necessity of hiring the right technical support person for your research team, and what types of questions you should ask.

How do you record naps in an Apple watch? Possible solutions to Apple Watch not tracking sleep outside of a sleep schedule.

A compilation of software tools used by MDEN mobile tech researchers for working with mobile data, including: wearable programming, mobile app development, data extraction, data analysis, data presentation and visualizations, and data pipelines.

This article is a listing of data dictionaries and data models for datasets that utilize mobile data (wearables, mobile apps, surveys, smartwatch apps, phone sensors, and more).

This article provides general guidance for sharing mobile data, based on the lessons learned by members of MeTRIC (https://metric.umich.edu), and evolving best practices from government and academic institutions worldwide.

Searching for mobile technology topics can be challenging due to the varying terminology and the cross disciplinary nature of the search terms. This information seeking starter kit provides some basic, structured literature search strategies to get you started.  The strategies are not meant to be comprehensive, but are designed to be a flexible launching pad for literature discovery.

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.

MTC focuses on consumer-grade, over-the-counter wearable and nearable devices with potential clinical applications. We concentrate on study management platforms from vetted vendors, although we can refer researchers to other resources when necessary.

Standardized data flow for research studies that utilize mobile technologies at the University of Michigan. It depicts how data typically moves from a smart watch or wearable device, into University resources behind a firewall, and finally lands on long-term storage for preservation and analytics.

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

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

A short collection of common mental health measures, surveys and questionnaires used by both clinical and research teams.