Assesses data quality in Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) databases. Executes data quality checks and provides an R 'shiny' application to view the results.

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/VIN_Annotation_of_Metadata.html>.

Explore data related to the Doctor Who TV series.

Data screening is an important first step of any statistical
    analysis. 'dataReporter' auto generates a customizable data report with a thorough
    summary of the checks and the results that a human can use to identify possible
    errors. It provides an extendable suite of test for common potential
    errors in a dataset. See Petersen AH, Ekstrøm CT (2019). "dataMaid: Your Assistant for Documenting Supervised Data Quality Screening in R." _Journal of Statistical Software_, *90*(6), 1-38 <doi:10.18637/jss.v090.i06> for more information.

Generates an RMarkdown data report with two components: 
   a summary of an input dataset and a diff of the dataset relative to an old version.

Quality control and formatting tools developed for the Copernicus Data Rescue Service. The package includes functions to handle the Station Exchange Format (SEF), various statistical tests for climate data at daily and sub-daily resolution, as well as functions to plot the data. For more information and documentation see <https://datarescue.climate.copernicus.eu/st_data-quality-control>.

Collection of functions to help retrieve U.S. Geological Survey
    and U.S. Environmental Protection Agency water quality and
    hydrology data from web services.