Datavalidering
Datavalidering is the process of ensuring that data is accurate, complete, consistent, and conforms to specified rules or standards before it is used in a system or analysis. It is a crucial step in data management and data quality assurance. The primary goal of datavalidering is to identify and correct errors, inconsistencies, and missing values in datasets, thereby improving the reliability and usability of the data.
Common types of data validation include checking for data type correctness (e.g., ensuring a field intended
The implementation of datavalidering can occur at various stages, such as during data entry, data migration,