Data integrity in labs

Data integrity in labs refers to the accuracy, consistency, and reliability of data collected during experiments and analyses. It ensures that data remains unaltered, complete, and trustworthy from collection through reporting. Maintaining data integrity involves proper documentation, secure storage, and adherence to protocols to prevent errors, tampering, or loss. This is crucial for dependable results, scientific validity, and regulatory compliance, ultimately supporting meaningful conclusions and decision-making based on the lab data.