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EMA-CleanR: Ecological Momentary Assessment (EMA) Data Processing in R
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.
How to use SchemaSpy to document research datasets
This article shows how researchers can make use of an open source data dictionary tool called SchemaSpy to help create professional, easy-to-understand documentation for their datasets. Specific instructions are provided for Oracle, Microsoft SQL Server, CSV, SQlite, R, and Python + Pandas.