Maintaining data quality is essential for reliable research outcomes. DBAs employ several strategies to ensure data quality, including:
Data Validation: Implementing rules and checks to ensure data accuracy and consistency. Data Cleaning: Identifying and correcting errors or inconsistencies in the data. Standardization: Using standardized formats and terminologies to ensure data uniformity.
