wizaRdry - A Magical Framework for Collaborative & Reproducible Data
Analysis
A comprehensive data analysis framework for NIH-funded
research that streamlines workflows for both data cleaning and
preparing NIH Data Archive ('NDA') submission templates.
Provides unified access to multiple data sources ('REDCap',
'MongoDB', 'Qualtrics', 'SQL', 'ORACLE') through interfaces to
their APIs, with specialized functions for data cleaning,
filtering, merging, and parsing. Features automatic validation,
field harmonization, and memory-aware processing to enhance
reproducibility in multi-site collaborative research as
described in Mittal et al. (2021) <doi:10.20900/jpbs.20210011>.