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Good data is characterized by several key components: accuracy, ensuring that the information is correct and reliable; completeness, meaning all necessary data is present; consistency, where data is uniform across different datasets; and relevance, ensuring that the data is applicable to the intended analysis or decision-making process. Additionally, good data should be timely, available when needed, and easy to understand to facilitate effective use.

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