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.
- Version2.1.0
- R versionunknown
- LicenseBSD_2_clause
- LicenseLICENSE
- Needs compilation?No
- Languageen-US
- dataquieR citation info
- Last release03/29/2024
Documentation
Team
Stephan Struckmann
University Medicine Greifswald
Show author detailsRolesCopyright holderElisa Kasbohm
Joany Marino
Elena Salogni
Adrian Richter
Carsten Oliver Schmidt
German Research Foundation (DFG SCHM 2744/3-1, SCHM 2744/9-1, SCHM 2744/3-4)
Show author detailsRolesfndNational Research Data Infrastructure for Personal Health Data: (NFDI 13/1)
Show author detailsRolesfndEuropean Union’s Horizon 2020 programme (euCanSHare, grant agreement No. 825903)
Show author detailsRolesfnd
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- Imports19 packages
- Suggests34 packages