What are scrubbed data?

Scrubbed data refers to data that has undergone a cleaning process to remove inaccuracies, inconsistencies, or irrelevant information, ensuring that it is accurate and reliable for analysis. This validation process often involves correcting errors, standardizing formats, and eliminating duplicate entries, thus providing a higher quality dataset for decision-making and reporting purposes.

The other options do not accurately capture the essence of scrubbed data. Data that is not accessible to users is simply restricted or secured and does not necessarily imply any validation or cleaning process. Data collected from a single source describes the origin of the data rather than its cleanliness or accuracy. Encrypted data, while secure, is concerned with protecting information from unauthorized access rather than ensuring its correctness or reliability. Therefore, the focus on validation for accuracy makes the first option the most accurate description of scrubbed data.