dataquieR
The goal of dataquieR
is to provide functions for assessing data
quality issues in studies, that can be used alone or in a data quality
pipeline. dataquieR
also implements one generic pipeline producing
flexdashboard
based HTML5 reports.
See also
https://dataquality.qihs.uni-greifswald.de
You can install the released version of dataquieR
from
CRAN with:
install.packages("dataquieR")
The suggested packages can be directly installed by:
install.packages("dataquieR", dependencies = TRUE)
The developer version from
GitLab.com
can be installed
using:
if (!requireNamespace("devtools")) {
install.packages("devtools")
}
devtools::install_gitlab("libreumg/dataquier")
For examples and additional documentation, please refer to our website.
dataquieR
reports can now use
plotly
if installed. That
means that, in the final report, you can zoom in the figures and get
information by hovering on the points, etc. To install plotly
type:
install.packages("plotly")
German Research Foundation (DFG:
SCHM 2744/3–1
– initial concept and dataquieR development,
SCHM 2744/9-1
– NFDI
Task Force COVID-19
use case application;
SCHM 2744/3-4
– concept extensions, ongoing )
European Union’s Horizon 2020 research and innovation program: euCanSHare, grant agreement No. 825903 – dataquieR refinements and implementations in the Square2 web application.
National Research Data Infrastructure for Personal Health
Data: NFDI 13/1
– extension based
on revised metadata concept, ongoing.
German National Cohort (NAKO Gesundheitsstudie)
NAKO: BMBF
(https://www.bmbf.de/
): 01ER1301A
and 01ER1801A
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