<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Data Quality in Epidemiological Research</dc:title>
  <dc:title>R package dataquieR version 2.8.9</dc:title>
  <dc:subject>CRAN Task View: Epidemiology (https://CRAN.R-project.org/view=Epidemiology)</dc:subject>
  <dc:description>Data quality assessments guided by a
    'data quality framework introduced by Schmidt and colleagues, 2021' 
    &lt;doi:10.1186/s12874-021-01252-7&gt; 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'
    &lt;https://dataquality.qihs.uni-greifswald.de/VIN_Annotation_of_Metadata.html&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.6.0)</dc:relation>
  <dc:relation>Imports: dplyr (&gt;= 1.0.2), emmeans, ggplot2 (&gt;= 3.5.0), lme4,
lubridate, MASS, parallelMap, patchwork (&gt;= 1.3.0), R.devices,
rlang, robustbase, qmrparser, utils, rio, readr, scales, withr,
lifecycle, units, methods, hms</dc:relation>
  <dc:relation>Suggests: S7 (&gt;= 0.2.1), cowplot, grid, openxlsx2, grDevices, jsonlite,
cli, whoami, DT (&gt;= 0.23), htmltools, knitr, markdown,
parallel, parallelly, rmarkdown, rstudioapi, testthat (&gt;=
3.1.9), tibble, vdiffr, pkgload, Rdpack, callr, colorspace,
plotly (&gt;= 4.11.0), htmlwidgets, future, processx, R6, shiny,
xml2, mgcv, rvest, textutils, dbx, grImport2, rsvg, stringdist,
rankICC, nnet, ordinal, storr, reticulate, stringi, lobstr,
visNetwork</dc:relation>
  <dc:creator>Stephan Struckmann &lt;stephan.struckmann@uni-greifswald.de&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>University Medicine Greifswald [cph],
  Elisa Kasbohm [aut] (ORCID: &lt;https://orcid.org/0000-0001-5261-538X&gt;),
  Elena Salogni [aut] (ORCID: &lt;https://orcid.org/0009-0007-3767-7145&gt;),
  Joany Marino [aut] (ORCID: &lt;https://orcid.org/0000-0002-4657-3758&gt;),
  Adrian Richter [aut] (ORCID: &lt;https://orcid.org/0000-0002-3372-2021&gt;),
  Carsten Oliver Schmidt [aut] (ORCID:
    &lt;https://orcid.org/0000-0001-5266-9396&gt;),
  Stephan Struckmann [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-8565-7962&gt;),
  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]</dc:contributor>
  <dc:rights>BSD_2_clause + file LICENSE (https://CRAN.R-project.org/package=dataquieR/LICENSE)</dc:rights>
  <dc:date>2026-05-11</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=dataquieR</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.dataquieR</dc:identifier>
  <dc:language>en-US</dc:language>
</oai_dc:dc>
