How does data validity differ from data accuracy in data quality assessment?

Data validity and accuracy are two distinct dimensions of data quality assessment. Data validity refers to the extent to which data conforms to predefined rules, standards, or constraints, ensuring that it is fit for its intended purpose. On the other hand, data accuracy measures how closely data reflects the true value or reality it represents. While validity ensures data adherence to rules, accuracy evaluates the correctness and precision of the data itself, regardless of its conformity to predefined criteria. Both aspects are essential for ensuring high-quality data that can be trusted for decision-making and analysis purposes.