Indicator

<p>A function that returns some value that correlates with the magnitude of
a certain class of data quality problems. Typically, in <code>dataquieR</code>, such
functions return a <code>SummaryTable</code> that features columns with names, that
start with a short abbreviation that describes the specific semantics of
the value (e.g., <code>PCT</code> for a percentage or <code>COR</code> for a correlation) and
the public name of the indicator according to the data quality concept
<code>DQ_OBS</code>, e.g., <code>com_qum_nonresp</code> for item-non-response-rate. A name could
therefore be <code>PCT_com_qum_nonresp</code>.</p>
<p>The object <code>Indicator</code> only contains the name used internally to tag
such functions.</p>

internal

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>.

Stephan Struckmann

dataquieR

Data Quality in Epidemiological Research

University Medicine Greifswald 

Elisa 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) 

National Research Data Infrastructure for Personal Health Data: (NFDI 13/1) 

European Union’s Horizon 2020 programme (euCanSHare, grant agreement No. 825903) 

Indicator: Indicator Function

Description

Usage

Arguments

Format

See Also