Project Summary/Abstract This proposed application will focus on exploring new methods and strategies to improve the usability of Electronic Health Record (EHR) data for the purpose of oral health research, dental education and patient care. The research will assess the data quality dimensions at group-level (faculty vs. student) and at institution level (across the nine dental school sites). The three quality dimensions will be –completeness, accuracy and consistency of the EHR data stored in the BigMouth dental data repository for the years 2017-2019. This project will analyze the completeness by assessing the granular components - demographics, dental history, behavioral attributes, and health history attributes inputted by the student and faculty providers for missing data. These granular components will be measured across variables, time, and patient. Patterns of missing data will be evaluated using multiple imputations. The accuracy of the data will be measured by comparing the odontogram to the corresponding radiographic image. The consistency that pertains to the constancy of data within a large dataset will be measured by comparing BigMouth and All of Us attributes that will provide a benchmark for these demographics and patient characteristics in large data sets and enhance the quality and confidence in the data repository. All the analysis will be done using the EHR data from the BigMouth dental data repository that contains clinical data from nine dental schools. This research will facilitate the importance of using EHR data in oral health research; understand the importance of data validation and reliability, and improving patient care outcomes within the dental schools that contribute to this repository.