The Mobile Technologies core provides resources and support in developing competitive, cutting-edge proposals.
The Mobile Technologies Core will assist investigators with study design by providing access to relevant mobile technology-related research, examples of study protocols, and guidance in regulatory aspects unique to research using mobile technologies. In addition, the core has relationships throughout the university to help investigators navigate the many additional resources provided at Michigan.
Current University of Michigan Studies
Michigan Predictive Activity and Clinical Trajectories (MIPACT)
PROviding Mental health Precision Treatment (PROMPT)
MiPACE: Michigan Performance and Aerobic Capacity During Exercise
My PART: Michigan and You - Partnering to Advance Research Together
Michigan Public Health Apple Hearing Study
YouM: Personalizing Student Performance at the University of Michigan
Resources Throughout the Research Process
The interactive Research Project Route Map developed by The Office of Research provides a roadmap for research processes and links investigators to specific resources at all stages of the research process.
Regulatory
Institutional Review Board (IRBMED) and Information Assurance (IA) reviews are necessary for most studies involving mobile devices. The Mobile Technologies Core helps investigators navigate these processes by providing examples of application language, consent forms, and other resources required for the regulatory review process.
Purchasing Devices, Apps, and Study and Data Management Platforms
The process for purchasing technology, IA approved vendors and answers to common questions are available on the Research Security Requirement site developed by HITS. Selecting a vendor with current IA approval can reduce the timeline of your study. Level 2 credentials are required to access the site. Investigators without level 2 credentials should contact the the core staff.
Study Design
Faculty at Michigan’s Data Science For Dynamic Intervention Decision-Making Center (d3C) are working on developing new research methods that complement studies using mobile devices.
- Adaptive Interventions
- JITAIs - Just-in-time adaptive interventions
- SMARTs - Sequential, Multiple Assignment, Randomized Trials
- MRTs - Micro-Randomized Trials
Additional resources for study design:
- EFDC Data & Design Core
- Mixed Methods Program
- Center for Education Design, Evaluation, and Research (CEDER)
Reproducibility & Data Stewardship
Reproducibility in research provides a mechanism to check for correctness of results, provides transparency, and gives others confidence by increasing understanding of the process used to reach findings. Michigan’s Reproducibility Hub provides resources and tools to incorporate reproducibility into your study design.
Data Stewardship, including the development of data management and data sharing plans, are becoming requirements for funders and journal submissions. The core will support researchers in determining effective plans for data stewardship that include collection, processing, and long-term data management.
NIH Data Management & Sharing Plan
Data Services through U-M Library
Faculty looking for support organizing their data, implementing a data management and data sharing plans, improving reproducibility, or sharing data with collaborators outside U-M can attend monthly Data Management Office Hours.
The University of Michigan has developed Best Practices for the Stewardship of Research Data as part of the Research Data Stewardship Initiative. This initiative supports U-M researchers in managing and sharing their research data to improve the transparency, rigor, and impact of academic research.
“Best practices include archiving or preservation to ensure public access, documentation of metadata to improve discoverability, and increasingly, annotation and deposition of code to ensure reproducibility.”
Research Data Stewardship Initiative
IT Support
A variety of IT-related support is often needed when conducting research with mobile technologies. The following services are offered through HITS.
Introductory Research Consult
Data Storage
Scientific Programming Consult
Application Consult
Data Integration and Automation
Mental Health Assessments
Researchers from a variety of disciplines have become interested in improving quality of life for their patients, which includes understanding how depression, anxiety, and other mental health experiences impact overall wellness. The following mental health measurement tools can provide important insight into the overall health and wellness of patients.
Mental Health Measurement Tools
Supplementary Self-Reports for Mental Health research
Research Innovation Core
The Research Innovation Core supports groundbreaking research programs and interdisciplinary collaborations by providing Eisenberg Family Depression Center members with information on funding opportunities and support in writing grants and publications.