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The intricacies of data quality, the Data Quality Dashboard, and a new sub-specialty focus on data quality: a discussion with Clair Blacketer
In this episode we discuss a definition of data quality and some of the inherent challenges with real world data quality with Clair Blacketer, Janssen Epidemiology, OHDSI and Erasmus MC. Clair describes the work she and colleagues have been engaged in on the development of a criteria-driven Data Quality Dashboard (DQD). some recent publications (Blacketer, et al, and Blacketer, et al), and the impact of using the DQD and process with Data Partners from the EHDEN COVID-19 call (2020). We discuss the experience in the field of using the DQD and the insights on quality of source and mapped data, as well as the iterative stages in enhancing the quality of data in the Common Data Model. Finally, Clair discusses the emerging 'sub-specialty' of data quality and aspirations for the expansion of her and others work on the DQD. More information on the DQD can be found on the OHDSI GitHub here.
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By EHDEN_AccountIn this episode we discuss a definition of data quality and some of the inherent challenges with real world data quality with Clair Blacketer, Janssen Epidemiology, OHDSI and Erasmus MC. Clair describes the work she and colleagues have been engaged in on the development of a criteria-driven Data Quality Dashboard (DQD). some recent publications (Blacketer, et al, and Blacketer, et al), and the impact of using the DQD and process with Data Partners from the EHDEN COVID-19 call (2020). We discuss the experience in the field of using the DQD and the insights on quality of source and mapped data, as well as the iterative stages in enhancing the quality of data in the Common Data Model. Finally, Clair discusses the emerging 'sub-specialty' of data quality and aspirations for the expansion of her and others work on the DQD. More information on the DQD can be found on the OHDSI GitHub here.