LSPERF01-BP03 Performance optimizations should validate data integrity

Maintain rigorous data integrity controls while pursuing performance optimizations. Implement checksums, audit trails, and validation steps within high-performance workflows, which assists to avoid compromising scientific accuracy and reproducibility by performance-focused architectural decisions, particularly for regulated or clinically-relevant research.

Desired outcome: Implement a balanced system architecture that maintains rigorous data integrity controls while achieving optimal performance, verifying that scientific accuracy and reproducibility for regulated and clinically relevant research.

Level of risk exposed if this best practice is not established: High

Implementation guidance

Working backward from your research regulatory requirements, balance performance with data integrity to achieve scientific accuracy and regulatory adherence.

Implement validation at each processing stage using cryptographic checksums (MD5/SHA-256) to verify data remains unaltered during transfers, storing these checksums for future validation.

Establish comprehensive audit trails documenting transformations with timestamps, parameters, and identity information—essential for regulated research.

Design your architecture with strategically positioned automated validation steps that detect anomalies without manual intervention, maximizing integrity assurance while minimizing performance impact.

For high-throughput workflows, deploy parallel validation processes that run concurrently rather than sequentially.

Use Amazon S3 Object Lock for immutable storage, AWS CloudTrail for audit logging, and AWS Config for monitoring.

With regulated data, incorporate digital signatures and version control to maintain unalterable provenance records, improving both speed and trustworthiness throughout your research workflows.

Implementation steps

Resources

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