Data validation involves cross-checking collected data with established standards or additional measurements. Techniques such as Repeatability Tests and Inter-laboratory Comparisons help ensure that the data is both precise and accurate. Employing statistical methods for data analysis can also aid in identifying and correcting anomalies.
