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DataLaVista™ is a lightweight, client-side reporting and dashboard toolkit that brings the full power of SQL directly to your browser, allowing you to build high-performance visualizations without the need for expensive server-side licenses or complex backend infrastructure. While engineered to dominate SharePoint List items with pure JavaScript widgets, DataLaVista™ is a framework-agnostic survivor that terminates data silos across REST services, JSON, Excel, and CSV files.

Your AI assistant can generate a working prototype in minutes — but trusting it without testing is a recipe for disaster. These 10 practical tips for writing code with generative AI come from Automators Anonymous at the University of Michigan, where members build clinical, research, and operational tools using Power Automate, Power BI, Power Apps, JavaScript, SQL, SharePoint, and AI. From prompt engineering to data validation, this is the survival guide we wish we had when we started.

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.

Overview of the Sleep Data Automation code, a project developed by the Mobile Technologies Core and the Sleep & Circadian Rhythm Laboratory to automate the process of cleaning sleep data from Fitbit fitness trackers and comparing or joining it to self-reported sleep diary data.