Resources for Mobile Technologies Research

Your One-Stop Shop for #umichMeTRIC Resources!

This resource guide was developed for attendees of the MeTRIC Symposium at the University of Michigan held on November 1st, 2024 and is updated regularly. 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.  

To use this guide, scroll through the topics to identify resources specific to the topics that registrants identified as the biggest challenges to conducting research utilizing mobile technologies. Alternately, you may browse the Mobile Technologies Resource Library links below. For study-specific assistance, request a Mobile Technologies Research Consultation. 

 

Mobile Technologies Resource Library

 

Resources by Topic

(Click to expand)

Accessing Existing Mobile Datasets and Using Secondary Data

Adaptive Interventions

App Development, Support, and Use

Costs, Budgeting, and Funding

Data Analysis and Visualization

Data Cleaning

Data Integrity and Standards

Data Pipelines and Integrations

Data Storage and Sharing

Data Transformations

Developing Collaborations

Device/Technology Selection and Features

Device Development

Device Validation

Ecological Momentary Assessment (EMA)

Ethics, Safety, and Equity

Implementation and Case Studies

MeTRIC

Participant Retention, Compliance, and Training

Regulatory and Compliance

Study Design and Methods

Study Team Training and Hiring

TrackMaster Membership Tracking Tool

Translation to Care

Vendor Relationships

 

 

Request a Mobile Technologies Research Consultation

 

About the Author

                                                

As the Mobile Technologies Core Manager at the University of Michigan’s Eisenberg Family Depression Center, Victoria Bennett helps investigators navigate the university’s robust resources while perpetually looking for opportunities to curate new resources. She aims to reduce friction for investigators who wish to utilize mobile technologies in health research. Drawing from her extensive experience with entrepreneurship, Victoria applies an entrepreneurial mindset to create efficient systems, improving operational effectiveness and impact.

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Related Articles (5)

2024 MeTRIC Symposium Mobile Device Gallery
A small selection of wearable and nearable devices displayed at the 2024 University of Michigan's MeTRIC Symposium.
Consultations, Programs and Services at the Eisenberg Family Depression Center
Direct links to Depression Center consultation request forms, program applications, and program information contacts.
Data Consultation Services at University of Michigan
A listing of U-M and MM offices and research cores that provide data-related consultation services, including those with expertise with mobile data and mental health data.
EMA-CleanR: Ecological Momentary Assessment (EMA) Data Processing in R
Dr. Sarah Sperry and Victoria Murphy of the Emotion and Temporal Dynamics (EmoTe) Lab at the University of Michigan created EMA-CleanR, an R-based program for efficient pre-processing, cleaning, and visualization of Ecological Momentary Assessment (EMA) survey data. This article documents how to use EMA-CleanR and how it works.
Mobile Study Data Flow
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.