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