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

Quality data is typically defined by several key characteristics that ensure its usefulness for analysis, decision-making, and operational purposes. Relevance, timeliness, and completeness are all essential attributes of quality data. Relevance ensures that the data is applicable to the needs at hand, timeliness signifies that the data is up-to-date and available when needed, and completeness indicates that the data covers all necessary aspects of the information being represented.

On the other hand, complexity does not contribute to the quality of data itself. Rather, it refers to how intricate or involved the data structure or analytics might be. Complex data can still be of high or low quality, depending on other factors like relevance, timeliness, and completeness. Therefore, complexity is not considered a fundamental characteristic of quality data and does not help in determining whether data is of good quality or not.