Need for validating information

The eight characteristics are: Data validation tests usually check the original, accurate, complete, and consistent aspects of the data.From a business perspective, the data are how the FDA, other regulators, and business partners evaluate the worth of the product.Data values are standardized according to a data model and/or data type.All characteristics of the data must be correct – including business rules, relations, dates, definitions and lineage – for data to be complete.

Because there are multiple, tough-to-control factors that can influence the dependability of a question, validating a survey is neither a quick nor easy task.Data integrity is imposed within a database when it is designed and is authenticated through the ongoing use of error checking and validation routines.As a simple example, to maintain data integrity numeric columns/cells should not accept alphabetic data.Data integrity is a fundamental component of information security.In its broadest use, “data integrity” refers to the accuracy and consistency of data stored in a database, data warehouse, data mart or other construct.