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1. A type of data validation that ensures a value is provided and not left blank or empty.
2. A validation process to ensure that a value belongs to a specific data type.
3. The process of checking the accuracy and integrity of entered data.
4. Verifying the integrity of data by checking its calculated checksum.
5. A type of data validation that verifies if a value falls on the lower or upper boundary of an acceptable range.
6. Ensuring that data is accurate, complete, and fits the required format or rules.
7. A type of data validation that confirms if a value meets a specified length requirement.
8. Ensuring that data follows a defined structure or schema.
9. The process of ensuring that data is accurate, consistent, and complies with predefined rules.
10. A process of verifying that an item is unique within a certain context.
11. Verification of whether a given input matches a specified pattern.
12. A value calculated from data for error detection in order to verify the accuracy of the data.
13. A type of data validation that examines the structure and format of data to ensure it adheres to predefined rules.
14. A type of data validation that verifies if the value is in the correct format or follows a specific pattern.
15. The accuracy and consistency of data throughout its lifecycle.
16. A series of steps performed to confirm the correctness and validity of data.
17. A type of data validation where the value is checked to make sure it falls within a specified range.