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'
<https://dataquality.qihs.uni-greifswald.de/Annotation_of_Metadata.html>.