Exploring Data Quality Problems and Data Quality Management Practices in Citizen Science: Barriers and Facilitators in the COVID-19 Tracking Project

Poster Number: P150
Presentation Time: 05:00 PM - 06:30 PM

Abstract Keywords: Data Standards, Participatory Approach/Science, Delivering Health Information and Knowledge to the Public
Primary Track: Applications
Programmatic Theme: Public Health Informatics

We conducted a data quality assessment of the COVID Tracking Project (CTP)’s publicly available data sets, measuring the integrity, consistency, and completeness of the data produced by this citizen-led participatory science project. We found that the CTP aggregated and published timely public health data with high levels of integrity and consistency. Problems with missing data were traced back to issues with state- and local-level reporting systems and inconsistent data standards across states and territories.

Speaker(s):
Donald McCormick, MSHI
Arkansas Hospital Association

Author(s):
Toni Jaudon, student - University of Arkansas for Medical Sciences; Petronella Mlambo, Bachelor's Degree in Computer Engineering - Arkansas Blue Cross and Blue Shield; Ash Richison, MPH - UAMS; Gunes Koru, PhD, FAMIA - University of Arkansas for Medical Sciences, Northwest Regional Campus;