Which data quality attribute ensures there are no duplicative or redundant records in the dataset?

Which data quality attribute ensures there are no duplicative or redundant records in the dataset?

• A. Completeness
• B. Timeliness
• C. Uniqueness
• D. Accuracy

Answer: (C)

Uniqueness is the data quality attribute that prevents duplicative or redundant records by enforcing a unique key for each row, so no two records share the same identifier. This keeps the dataset from counting the same entity more than once and supports reliable updates, accurate joins, and clean analyses. Completeness concerns having all required fields filled, timeliness focuses on how current the data is, and accuracy relates to whether the data values reflect reality. Thus, only uniqueness directly targets the issue of duplicates.

Uniqueness is the data quality attribute that prevents duplicative or redundant records by enforcing a unique key for each row, so no two records share the same identifier. This keeps the dataset from counting the same entity more than once and supports reliable updates, accurate joins, and clean analyses. Completeness concerns having all required fields filled, timeliness focuses on how current the data is, and accuracy relates to whether the data values reflect reality. Thus, only uniqueness directly targets the issue of duplicates.