Training on Key Principles of Data Quality and its Assessment Using R and dataquieR

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Events 09 October 2026 Hits: 25

This interactive online training introduces key principles of data quality and demonstrates how to assess it in a standardised and reproducible way with the R package dataquieR. Through practical, hands-on exercises, participant will learn how to create and modify metadata, generate data quality reports, and evaluate real-world assessment results.

The image shows a human hand holding a drawn light bulb and the title of the webinar in large white letters.

After the training, participants should be able to:

Explain key data quality concepts and the data quality framework at the base of dataquieR.
Understand and use the metadata model
Create custom metadata to support automated data quality checks
Generate data quality reports with and without metadata in dataquieR
Understand how metadata expands the scope of data quality assessments

Target group: Early-career/clinical researchers, doctoral researchers, data analysts, data stewards
Requirements: Basic knowledge of R and RStudio, with both software applications installed prior to the course.
Training format: Interactive online training with live coding
Speakers: C.O. Schmidt, E. Salogni, S. Struckmann
Date: 28 October 2026 | 09:00–12:00 CEST
Language: English 

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Registration: [here]

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