rCoreGage: Data Quality Check Framework for Clinical and Analytical Data

A configuration-driven framework for running domain-level data quality checks and consolidating findings into structured Excel reports with role-based feedback routing. It supports trial-level and study-level checks across multiple data domains. Reports are routed to separate feedback channels for Data Management (DM), Medical Writing (MW), Study Data Tabulation Model (SDTM) programmers, and Analysis Data Model (ADaM) programmers, as well as other relevant data roles. Reviewer responses are incorporated automatically on re-run.

Version:	1.0.0
Depends:	R (≥ 4.1.0)
Imports:	readxl (≥ 1.4.0), openxlsx (≥ 4.2.5), dplyr (≥ 1.1.0)
Suggests:	haven (≥ 2.5.0), testthat (≥ 3.0.0), knitr, rmarkdown
Published:	2026-04-22
DOI:	10.32614/CRAN.package.rCoreGage
Author:	Ganesh Babu G [aut, cre]
Maintainer:	Ganesh Babu G <ganeshbabu346 at gmail.com>
BugReports:	https://github.com/ganeshbabuNN/rCoreGage/issues
License:	GPL (≥ 3)
URL:	https://github.com/ganeshbabuNN/rCoreGage
NeedsCompilation:	no
Language:	en-US
Materials:	README
CRAN checks:	rCoreGage results

Documentation:

Reference manual:	rCoreGage.html , rCoreGage.pdf
Vignettes:	Getting Started with rCoreGage (source)

Downloads:

Package source:	rCoreGage_1.0.0.tar.gz
Windows binaries:	r-release: rCoreGage_1.0.0.zip, r-oldrel: rCoreGage_1.0.0.zip
macOS binaries:	r-release (arm64): rCoreGage_1.0.0.tgz, r-oldrel (arm64): rCoreGage_1.0.0.tgz, r-release (x86_64): rCoreGage_1.0.0.tgz, r-oldrel (x86_64): rCoreGage_1.0.0.tgz

Linking:

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