Data Validation and Data Verification – From Dictionary to Machine Learning - KDnuggets

Quite often, we use data verification and data validation interchangeably when we talk about data quality. However, these two terms are distinct. Table 1 explains dictionary meaning of the words verification and validation with a few examples. To summarize, verification is about truth and accuracy, while validation is about supporting the strength of a point of view or the correctness of a claim. Validation checks the correctness of a methodology while verification checks the accuracy of the results. Now that we understand the literal meaning of the two words, let's explore the difference between "data verification" and "data validation".