• Precision: The data must accurately represent reality.
• Consistency: The data must not contain contradictions that would make it difficult or impossible to use.
• Completeness: Data must include all the elements that represent the dataset subject.
• Compliance: Data must be aligned with the data quality standards.
• Reliability: Data must be obtained from reliable sources.
• Adequate and comprehensive: The dataset must contain enough data to provide an analytical value.
• Timing: The data represents the actual situation.

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