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 (may not be active yet)
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: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): DQA_0.1.0.tgz

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