util_validate_known_meta

This function goes through metadata columns, <code>dataquieR</code> supports
and verifies for these, that they follow its metadata conventions.

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) 

util_validate_known_meta function

<dl><dt>meta_data</dt>
<dd><a href="/link/data.frame?package=dataquieR&version=2.1.0" data-mini-rdoc="dataquieR::data.frame">data.frame</a> the data frame that contains metadata
attributes of study data</dd></dl>

Arguments

Utility function verifying syntax of known metadata columns — util_validate_known_meta

<dl>

<dt>meta_data</dt>
<dd><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a> the data frame that contains metadata
attributes of study data</dd>

</dl>

Utility function verifying syntax of known metadata columns

util_validate_known_meta: Utility function verifying syntax of known metadata columns

Description

Usage

Value

Arguments

See Also