Protocol Module - Abstract Documentation
Purpose and Responsibility
Manages experimental protocols, version control, and seed management for reproducible research. Ensures experimental consistency, data integrity, and replicability across research studies.
Key Data Structures and Relationships
Protocol Components
- mod: Module organization for protocol management
- seed_management: Random number generation control for reproducibility
- version_control: Experimental protocol versioning and change tracking
- versioning: Data format and analysis pipeline version management
Version Control Architecture
ProtocolVersion → ExperimentalParameters + AnalysisConfiguration + DataSchema
SeedManager → RandomizationControl + ReproducibilityGuarantees
Main Data Flows and Transformations
Protocol Management
- Version Creation: New protocol development with change tracking
- Seed Control: Deterministic randomization for reproducible experiments
- Parameter Validation: Experimental configuration verification
- Compatibility Checking: Cross-version compatibility and migration
Reproducibility Pipeline
- Seed Generation: Cryptographically secure random seed creation
- State Persistence: Complete experimental state serialization
- Version Tracking: Protocol evolution and backward compatibility
- Audit Trail: Complete history of experimental modifications
Core Algorithms and Business Logic Abstractions
- Deterministic Randomization: Reproducible pseudo-random number generation
- Version Management: Semantic versioning with compatibility guarantees
- Protocol Validation: Configuration consistency and completeness checking
- Migration Support: Automatic updating of legacy experimental data