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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.
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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.
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- Getting Started with Mobile Technologies
This resource guide was developed for attendees of the MeTRIC Symposium at the University of Michigan held on November 1st, 2024. MeTRIC is a campus-wide collaboration designed to foster knowledge sharing and create a single access point for University of Michigan investigators who are looking to use wearables, apps, or other mobile technologies in their health research.
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- Technology for Health Research
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.