Despite the importance of high-quality data, several challenges persist:
Resource Constraints: Limited resources can affect the ability to collect and maintain high-quality data. Variability: Differences in data collection methods and definitions across regions and institutions can hinder standardization. Privacy Concerns: Balancing data quality with privacy and ethical considerations can be challenging. Human Error: Inaccuracies due to human error in data collection and entry.
