Date: September 2020
Presenters: Nick Ortiz, Sharon Walsh, and Christina Kasprzak
Presentation on how data quality can impact results and the identification of root causes and contributing factors for improvement. This session unpacked different aspects of data quality and strategies for analyzing data quality through a racial equity lens. It also covered considerations for data disruptions due to events such as the COVID-19 pandemic and the potential impact of disruptions on data quality.
This presentation can help Part C and Part B 619 staff understand the basic tenets of data quality and the consequences for data use, particularly when data quality differ by racial/ethnic groups.