ABSTRACT:
There are multiple definitions of data integrity, yet the essence is the same. Data integrity is the overall accuracy, completeness, and consistency of data.
Data integrity is the maintenance of, and the assurance of the accuracy and consistency of data over its entire life-cycle and is a critical aspect to the design, implementation and usage of any system that stores, processes, or retrieves data.
When we secure the data integrity, we ensure completeness, accuracy, and reliability of data regardless of the duration of storage and the number of times data is accessed. Data integrity also ensures that your data is safe from any external forces.
Data integrity applies to all the industries where data is generated however here we are just focused onthe clinical research industry and more specifically on the Bioanalytical partthereof. Data integrity carries substantial importance in the healthcare industry as it is directly related tothe safety and well-being of people.
