Which of the following is NOT a characteristic of good data?

Good data is characterized by being valid, timely, and accurate. Valid data means that it is suitable for the intended purpose and meets the required criteria. Timeliness refers to the data being up-to-date and available when needed, which is crucial for making informed decisions. Accuracy indicates that the data correctly reflects the real-world scenario it represents; it should be free from errors.

In contrast, inconsistency means that the data does not match across different sources or datasets, which undermines its reliability and usefulness. Good data must maintain consistency to ensure that it can be effectively analyzed and trusted to inform decisions. Therefore, inconsistency is not a characteristic of good data.