Intrinsic Data Quality: Measurement Dimension [Slide deck]

This presentation provides an introduction to intrinsic data quality, covering some common data quality pitfalls and explaining how data quality affects research outcomes. It also gives an introduction to measurement dimensions of popular data quality frameworks, distinguishing between three types of research data: survey data, digital behavioral data, and linked data. This presentation is the second part of a set of presentations on the topic of "Terms, Concepts & Frameworks of Data Quality".

Presentation available after free registration:

https://elearning.gesis.org/course/section.php?id=1202