What are the three criteria of good data?

Good data must be Accurate, Relevant, and Meaningful. Accurate data is free from errors and provides a true representation of what it measures. Relevant data directly relates to the question or problem being addressed, ensuring it contributes to insights. Meaningful data is presented in a way that allows for interpretation and action, providing actionable insights rather than just raw numbers. "Performance, relevance, availability" is incorrect because performance and availability are characteristics of data systems or access, not the intrinsic quality of the data itself. "Industrious" and "ample" are not standard criteria for data quality. While "important" and "first-party" can be desirable attributes, they are not universal criteria for good data quality in the same way accuracy, relevance, and meaningfulness are.