Data integrity refers to the accuracy, consistency, and reliability of data throughout its lifecycle. It is the assurance that data has not been altered or corrupted in an unintended or unauthorized manner. Data integrity is essential for maintaining the quality and trustworthiness of information in various industries, including healthcare, finance, and technology. This research area involves developing methods, tools, and best practices to ensure data integrity, such as data validation, encryption, and access controls. It also includes studying the impact of data integrity on data quality, security, and compliance with regulations and standards.