The KODAQS Individual Training Program aims at researchers looking to advance their expertise in data science quality without committing to an in-person program. The topics are aligned with survey data, digital behavioral data, and linked data. The content includes terms, concepts, and frameworks related to data quality, indicators and metrics, remedies and correction strategies such as weighting, and suggests tools and workflows for documentation.
The fully online self-paced training allows learners to acquire data quality-oriented use of data expertise in a self-directed and flexible manner.