DQA: Data Quality Assessment Tools

In the context of data quality assessment, this package provides a number of functions for evaluating data quality across various dimensions, including completeness, plausibility, concordance, conformance, currency, timeliness, and correctness. It has been developed based on two well-known frameworks—Michael G. Kahn (2016) <doi:10.13063/2327-9214.1244> and Nicole G. Weiskopf (2017) <doi:10.5334/egems.218>—for data quality assessment. Using this package, users can evaluate the quality of their datasets, provided that corresponding metadata are available.

Version:	0.1.0
Imports:	ggplot2, data.table
Suggests:	testthat (≥ 3.0.0)
Published:	2025-12-18
DOI:	10.32614/CRAN.package.DQA
Author:	Hamed Tabesh [aut], Elham Hosseinzadeh [aut, cre], Marziyeh Afkanpour [aut]
Maintainer:	Elham Hosseinzadeh <elham.hh2012 at gmail.com>
License:	MIT + file LICENSE
NeedsCompilation:	no
Language:	en-US
Materials:	README, NEWS
CRAN checks:	DQA results

Documentation:

Reference manual:

DQA.html , DQA.pdf

Downloads:

Package source:	DQA_0.1.0.tar.gz
Windows binaries:	r-devel: DQA_0.1.0.zip, r-release: DQA_0.1.0.zip, r-oldrel: DQA_0.1.0.zip
macOS binaries:	r-release (arm64): DQA_0.1.0.tgz, r-oldrel (arm64): DQA_0.1.0.tgz, r-release (x86_64): DQA_0.1.0.tgz, r-oldrel (x86_64): DQA_0.1.0.tgz

Linking:

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