Data integrity refers to the accuracy, completeness, and consistency of data throughout its lifecycle. In other words, data integrity ensures that data is reliable, trustworthy, and has not been altered or manipulated in any way.Data integrity ensures that research findings are reliable and can be reproduced by other scientists.
To maintain data integrity, organizations must implement robust systems and processes for data management, including data collection, storage, analysis, and reporting. This includes establishing standard operating procedures (SOPs) and quality control measures to prevent errors and inconsistencies in data. It also involves ensuring that data is protected from unauthorized access or manipulation.
Overall, data integrity is critical for ensuring that data is accurate and reliable, and it requires a comprehensive approach that encompasses both technical measures and a culture of compliance within the organization.