What are the Key Characteristics of High-Quality Data?
Several characteristics define high-quality data in epidemiology:
1. Accuracy: The data should precisely represent the real-world conditions it aims to describe. 2. Completeness: All necessary data points should be collected to avoid any gaps. 3. Consistency: Data should be collected uniformly across different sources and over time. 4. Validity: The data should measure what it is intended to measure. 5. Timeliness: Data should be current and collected at appropriate intervals to ensure relevance.
