Accuracy: Refers to how closely the data represents the true value or condition. Completeness: The extent to which all required data is available. Consistency: The degree to which data is the same across different datasets and over time. Timeliness: Data should be up-to-date and available when needed. Relevance: Data must be applicable to the research question or public health issue.
