Preventive measures are crucial to maintaining data integrity:
1. Regular Backups: Frequent backups ensure that data can be restored in the event of corruption. 2. Quality Control Protocols: Implementing rigorous protocols for sample handling and data entry can minimize human errors. 3. Environmental Controls: Maintaining optimal conditions for sample storage can prevent physical degradation and subsequent digital corruption. 4. Robust Hardware and Software: Using reliable and well-maintained equipment and software reduces the risk of corruption.
