Data standards are crucial in epidemiology for several reasons: 1. Consistency: Ensures that data collected by different researchers or organizations can be compared. 2. Quality: Improves the reliability and validity of data. 3. Interoperability: Facilitates data sharing and integration across different systems and platforms. 4. Efficiency: Reduces duplication of effort and resources in data collection and analysis.
