The most likely data quality dimension applied in this scenario is B. Consistency.
Explanation:
Consistency refers to ensuring that data is the same across different instances or systems. This includes checking for discrepancies between datasets, redundant values, and uniform formatting. The modification described in the question likely involved correcting inconsistencies, such as updating outdated information or ensuring that values are presented uniformly.
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