MDEN Presentations (2024-2025 Academic Year)

Summary

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 2023-2024 academic year.

 

Playlist

 

Inside the University of Michigan HomeLab

Presented on March 3, 2025 by Alicia Carmichael and Brandon Labbree.

A presentation by Alicia Carmichael, research process director, and Brandon Labbree, research lab manager, from the University of Michigan HomeLab, a state-of-the-art research facility designed to simulate real-world home environments while utilizing a variety of sensors, audio/video recording and wearables. U-M HomeLab enables researchers to study behavior and technology use in controlled yet naturalistic conditions. In this MDEN session, presenters review measurement tools, capabilities and U-M research support services offered at HomeLab, including protocol design, participant recruitment, data collection and analysis.

Event Webpage: https://depressioncenter.org/news-events/events/mden-inside-u-m-homelab
Slides: MDEN_Presentation_3Mar25_Alicia_Carmichael_HomeLab.pptx (U-M login required)
Video: https://youtu.be/-sPHKKQMNJA

 

 

Data Tools for Mobile Health Research with MyDataHelps

Presented on February 3, 2025 by Brandon Savage, MD, CareEvolution.

This presentation by the CareEvolution Product Engineering team showcases how mobile health platforms can streamline data acquisition for mobile health research. Discover how MyDataHelps aggregates data from participants, wearable devices, electronic health records, and study teams while ensuring secure and efficient access for participant engagement, trial management, and research analysis. Learn practical approaches to integrating data from multiple sources, keeping participants engaged, and analyzing data to advance research.

Event Webpage: https://depressioncenter.org/news-events/events/mden-data-tools-mobile-health-research-mydatahelps
Slides: MDEN_Presentation_3Feb24_Data_Tools_for_Mobile_Health_Research_with_MyDataHelps.pdf (U-M login required)
Video: https://youtu.be/qSNSJdmz1Y8

 

 

Introduction to Fast Healthcare Interoperability Resource (🔥FHIR)

Presented on December 2, 2024 by  Rachel Richesson, Ph.D., M.P.H., M.S.

An introduction to the Fast Healthcare Interoperability Resources (FHIR) standard for exchanging electronic health records. This presentation is geared toward researchers and developers working with mobile data that uses the FHIR format, such as that from Apple HealthKit and MyDataHelps. Rachel Richesson, Ph.D., M.P.H., M.S., FACMI  is a clinical professor of learning health sciences at the University of Michigan's Medical School.

Event Webpage: https://depressioncenter.org/news-events/events/mden-introduction-fast-healthcare-interoperability-resources
Slides: MDEN_Presentation_2Dec24_Rachel_Richesson_Intro_to_FHIR.pptx (U-M login required)
Video: https://youtu.be/JRnr2x4CPZE

 

 

(Almost) Everything You Need to Know About Open Sourcing

Presented on November 4, 2024 by Drew Bennett, MBA.

In this MDEN session, Drew Bennett, M.B.A., director of Software, Content Licensing and Research Partnerships at Innovation Partnerships at U-M, will discuss what, why, when and how to publish code used in research as open source. Learn about the different license types, the benefits to your team and the scientific community, and what steps to follow before publishing to GitHub or GitLab.

Event Webpage: https://depressioncenter.org/news-events/events/mden-what-why-when-and-how-publish-your-code-open-source
Slides: MDEN_Presentation_4Nov24_Drew_Bennett_OSS_Overview.pptx (U-M login required)
Video: https://youtu.be/_jH4DS07w60

 

 

Deep Blue Repositories and Research Data Services

Presented on October 7, 2024 by Peter Cerda, Ph.D.

In this MDEN session, Peter Cerda, Ph.D, associate librarian and data curation specialist for Workflows and Big Data at the University of Michigan Library, discusses how to comply with NIH data sharing requirements with U-M’s Big Blue Data. Peter introduces the service offerings at Deep Blue Data, the process for depositing datasets and code, getting a digital object identifier (DOI #) to track citations, and the process for getting code ready for public archives.

Event Webpage: https://depressioncenter.org/news-events/events/mden-depositing-deep-blue-data
Slides: MDEN_Presentation_7Oct24_Peter_Cerda_MDenDBRRDSOverview.pptx (U-M login required)
Video: https://youtu.be/VGo-REhc3U0

 

 

Notes

  • None.

 

Resources

 

About the Author

Gabriel Mongefranco is a Mobile Data Architect at the University of Michigan's Eisenberg Family Depression Center. Gabriel has over a decade of experience with automation, data analytics, database architecture, dashboard design, software development, and technical writing. He supports U-M researchers with data cleaning, data pipelines, automation and enterprise architecture for wearables and other mobile technologies.

 |   |   | 

 

Print Article

Related Articles (8)

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.
This article explores the importance of sharing code, addresses common reservations among researchers, and provides practical advice on how to share effectively. By increasing transparency and releasing code as open source, researchers not only meet the requirements of funding agencies and publications but also stimulate institutional, national, and global research progress.
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.
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.
Selecting technology to manage a study remotely is a big decision. This article includes considerations for selecting technology and information on vendors that are (at the time of writing) approved for use in research at U-M.
Review of best practices and examples of enrolling and consenting participants using mobile or web applications.
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.

Attachments (0)

No attachments found.