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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.

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.

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.