dataquieR: Data Quality in Epidemiological Research

Data quality assessments guided by a 'data quality framework introduced by Schmidt and colleagues, 2021' <doi:10.1186/s12874-021-01252-7> target the data quality dimensions integrity, completeness, consistency, and accuracy. The scope of applicable functions rests on the availability of extensive metadata which can be provided in spreadsheet tables. Either standardized (e.g. as 'html5' reports) or individually tailored reports can be generated. For an introduction into the specification of corresponding metadata, please refer to the 'package website' <>.

Version: 2.1.0
Depends: R (≥ 3.6.0)
Imports: dplyr (≥ 1.0.2), emmeans, ggplot2 (≥ 3.5.0), lme4, lubridate, MASS, MultinomialCI, parallelMap, patchwork, R.devices, rlang, robustbase, qmrparser, utils, rio, readr, scales, withr, lifecycle, units
Suggests: GGally, grDevices, cli, whoami, anytime, cowplot (≥ 0.9.4), digest, DT (≥ 0.23), flexdashboard, flexsiteboard, htmltools, knitr, markdown, parallel, parallelly, rJava, rmarkdown, rstudioapi, testthat (≥ 3.1.9), tibble, vdiffr, pkgload, Rdpack, callr, colorspace, plotly, ggvenn, htmlwidgets, future, processx, R6, shiny, xml2, mgcv, rvest, textutils
Published: 2024-03-29
DOI: 10.32614/CRAN.package.dataquieR
Author: University Medicine Greifswald [cph], Elisa Kasbohm ORCID iD [aut], Joany Marino ORCID iD [aut], Elena Salogni ORCID iD [aut], Adrian Richter ORCID iD [aut], Carsten Oliver Schmidt ORCID iD [aut], Stephan Struckmann ORCID iD [aut, cre], German Research Foundation (DFG SCHM 2744/3-1, SCHM 2744/9-1, SCHM 2744/3-4) [fnd], National Research Data Infrastructure for Personal Health Data: (NFDI 13/1) [fnd], European Union’s Horizon 2020 programme (euCanSHare, grant agreement No. 825903) [fnd]
Maintainer: Stephan Struckmann <stephan.struckmann at>
License: BSD_2_clause + file LICENSE
NeedsCompilation: no
Language: en-US
Citation: dataquieR citation info
Materials: README NEWS
CRAN checks: dataquieR results


Reference manual: dataquieR.pdf
Vignettes: dataquieR example report


Package source: dataquieR_2.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): dataquieR_2.1.0.tgz, r-oldrel (arm64): dataquieR_2.1.0.tgz, r-release (x86_64): dataquieR_2.1.0.tgz, r-oldrel (x86_64): dataquieR_2.1.0.tgz
Old sources: dataquieR archive


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