Renata De Souza Falguera

Contents

• Relevance of data quality in modern biomedical research

• Categories of data quality criteria

• Requirements for comprehensive data quality management

• Architecture of a data quality monitoring system

Learning Objectives 

Participants will be able to answer the following questions:

• Why is data quality particularly important in modern biomedical research?

• How can data quality be captured at a conceptual level?

• What characteristics should a technical solution for capturing data quality have?

• How can a corresponding system architecture look like?