This article summarizes the tools available for collaboration, file storage and file sharing at University of Michigan and Michigan Medicine.
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.
A compilation of software and cloud services for creating forms, surveys, polls, questionnaires, etc. A compilation of software and cloud services for electronic data capture, forms, surveys, polls, questionnaires, etc. Find the right survey tool for business, clinical or research use.
How to capture GitHub repository usage for analysis and visualizations, using PowerShell.
This article is deep dive into MCommunity data and different ways to access it. MCommunity is the University of Michigan's public directory, providing information about people and groups. The directory information is often necessary for day-to-day research study management, day-to-day business operations at centers & institutes, and for automation.
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 2025-2026 academic year.
The RegEx Service allows executing regular expressions in Power Automate or other cloud-based automation tools that do not have support for regular expressions.
The University of Michigan and Michigan Medicine offer generative AI tools including UMGPT, Microsoft Copilot, Google Gemini and Gemini Notebook. This guide explains how to choose tools and models, get started, and use AI for research, clinical, teaching and administrative work.
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.