The Eisenberg Family Depression Center is devoted entirely to bringing depression into the mainstream of research, care, community education and public discourse. We are investing in high-impact research and evidence-based initiatives to progress our field forward. Our code repositories help us accelerate mental health discoveries by promoting interdisciplinary collaborations across research, reducing barriers to utilizing mobile technologies, and helping researchers solve common technology problems without re-inventing the wheel.
The Depression Center Code Repositories on GitHub feature code used in research, made available to the public through open source licenses. Our projects range from data cleaning automations, R analytical libraries, dashboard templates, to innovative solutions for research teams. These repos include code developed by us, by our partners, and by researchers throughout University of Michigan and Michigan Medicine.
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Real-world examples of AI prompts from the University of Michigan. |
AI, JavaScript, SharePoint, and Power Platform projects built by the Automators Anonymous™ community of practice at UMich. |
Code developed by the EFDC Data and Design Core team to support mental health research. |
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🕶️ Tell your expensive BI tools: "Data la vista, baby!" DataLaVista is a lightweight, client-side reporting and dashboard toolkit. |
Eisenberg Family Depression Center's Static Code Pages. These pages are used for embedding content in other EFDC sites and knowledge base. |
Collection of solutions to the "IT is going to delete my old emails" problem, using Power Automate or other tools. |
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Standard code repo template that provides common features, README sections, and U-M copyright notices to help new repositories comply with U-M guidelines. |
Custom HTML and CSS for the Depression Center KB (TDX Client Portal), with templates for Bootstrap components that work inside knowledge base articles. |
Efficient pre-processing, cleaning, and visualization of Ecological Momentary Assessment (EMA) survey data in R to enable high-quality, real-time behavioral insights. |
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EFDC Repository Information. |
Scripts to capture GitHub repository and usage statistics daily. |
Interactive diagram of integration and compatibility between CGMs, BGMs, and insulin delivery devices (pumps, pens, etc.). |
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Mobile technologies code from the University of Michigan's Mobile Data Experts Network (MDEN), featuring data cleaning automations, REDCap project templates, and more. |
Code and documentation for Mi Nap sleep diary smartwatch app and related infrastructure, developed by the 2023 ITS intern cohort at the University of Michigan. |
Diagrams and 3D models showcasing mobile technologies devices used in research, such as wearables, nearables, intermittent wearables, and smartphone sensors. |
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PowerBI reports from the Mobile Technologies Core. |
Code for tools and automation used internally by the Mobile Technologies Core. |
PowerBI dashboard templates and examples for research teams. |
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Code used by the Mobile Technologies Core team's SharePoint site, including JSON/CSS for View Formatting. |
Data dictionary and security information extraction for SharePoint sites. |
Automated sleep data cleanup and processing to harmonize Fitbit data obtained via Fitabase with self-reported sleep diary entries sent via SMS messages. |
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Code and documentation for TrackMaster membership tracking tool™ and related infrastructure, developed by the 2023 ITS intern cohort at the University of Michigan. |
Useful SQL queries for University of Michigan research cores, centers, institutes and labs, including queries to report on publications and grants. |
Automated data cleaning and sleep/gait metrics for Apple Watch data collected via SensorKit and ResearchKit. |
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See all our repos. |
- Gabriel Mongefranco, Sr. Mobile Data Architect, Mobile Technologies Core
- Email: 📧
- Git: @gabrielmongefranco
- Web: Staff Profile | Website
- Eisenberg Family Depression Center
- Email: 📧
- Phone: 734-763-9629
- Web: https://depressioncenter.org
Depression Center Website | GitHub | Knowledge Base | Depression Center's Video Library
© 2023 Regents of the University of Michigan
