What aspect does effective data validation NOT cover?

The correct answer focuses on the fact that effective data validation primarily addresses the quality and integrity of data rather than the efficiency of data entry processes. Data validation involves assessing the accuracy, completeness, and consistency of the data according to specified requirements, ensuring that the data being used is reliable and potential errors are identified and corrected.

Accuracy ensures that the data correctly represents the real-world scenarios it is intended to model, while completeness checks that all necessary data points are present. Consistency with specified requirements ensures that the data adheres to established standards or formats, which is crucial for maintaining uniformity across datasets. In contrast, speed of data entry pertains to how quickly data is input into a system, which does not directly influence the validity or reliability of that data. Therefore, speed is an operational efficiency measure rather than a validation aspect, making it the correct choice.