Ace the ACRP Clinical Research Pro Exam 2025 – Dash into Data with Confidence!

Question: 1 / 400

Which of the following is NOT a characteristic of "Robust Data"?

Clean

Complete

Imprecise

Robust data is characterized by its reliability, completeness, and adherence to established protocols, ensuring that it can be trusted for analysis and decision-making.

In this context, clean data refers to data that has been processed to remove errors or inconsistencies, making it more reliable for use. Complete data signifies that all necessary information is included, enabling comprehensive assessments. When a protocol has been followed, it indicates a systematic approach in data collection and processing, which contributes to its quality and integrity.

Imprecision, however, contradicts the essence of robust data. Data that is imprecise lacks accuracy and can lead to unreliable conclusions. Therefore, identifying imprecision as a characteristic would negate the qualities that make data robust. This is why it stands out as the choice that does not belong with the others.

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Protocol has been followed

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