Difference between data validation and data verification?

Answer 1

Data validation means to check for correctness, meaningfulness, and security of data that are input to the system. The simplest data validation verifies that the characters provided come from a valid set. For example, telephone numbers should include the digits and possibly the characters +, -, (, and ) (plus, minus, and brackets). A more sophisticated data validation routine would check to see the user had entered a valid country code, i.e., that the number of digits entered matched the convention for the country or area specified. Data validation might also check that all required fields are filled in before an online form was submitted. Data validation should also check that only data of an appropriate length is accepted. Failure to do so can make an application vulnerable to buffer overflow exploits. Validation should also prevent users from entering command strings in place of data.

Data verification is a process that helps to determine whether data was accurately translated when data is transported from one source to another, is complete, and supports processes in the new system. During verification, there may be a need for a parallel run of both systems to identify areas of disparity and forestall erroneous data loss.

Answer 2

Verification and validation is done to make sure that the data is accurate and error free as the incorrect data can lead to data deformation or miss understanding of the document. Data validation checks that data are valid, sensible, reasonable before they are processed it is a quality assurance process of establishing evidence that provides a high degree of assurance that the document accomplishes its intended requirements ,while data verification checks that the document meets specifications and that it fulfills its intended purpose.