Ensuring data integrity involves several best practices:
1. Standardization: Use standardized methods and units of measurement to facilitate comparison across different studies. 2. Documentation: Maintain thorough and organized records of all experimental procedures and results. 3. Peer Review: Subject data and findings to peer review to identify and correct any errors or inconsistencies. 4. Data Sharing: Make data available to the scientific community through publications, supplementary materials, and open-access databases.
