Scientific methodology and standards for Z Framework research.

This document outlines the scientific standards and methodological requirements for research conducted within the Z Framework project.

• Statistical Significance: p < 0.05 with multiple testing corrections
• Effect Size Reporting: Cohen's d and confidence intervals required
• Reproducibility: All analyses must be independently reproducible
• Sample Size: Power analysis for adequate sample sizes

• Proof Requirements: Formal mathematical proofs for theoretical claims
• Computational Validation: Cross-validation across multiple implementations
• Precision Standards: High-precision arithmetic (mpmath dps=50) for critical calculations
• Error Analysis: Comprehensive error propagation analysis

• Data Integrity: Verified data sources and preprocessing protocols
• Version Control: Complete version tracking for datasets and analysis
• Documentation: Comprehensive metadata and provenance tracking
• Validation: Independent verification of data quality

• Internal Review: Technical review by framework maintainers
• External Review: Independent review by domain experts
• Community Review: Open review process for major claims
• Revision Process: Iterative improvement based on feedback

• Complete Methodology: Detailed description of all procedures
• Statistical Analysis: Full statistical analysis protocols
• Limitations: Clear acknowledgment of limitations and assumptions
• Reproducibility: Complete instructions for reproduction

• Transparency: Open disclosure of methods and potential conflicts
• Attribution: Proper attribution of contributions and prior work
• Collaboration: Respectful and inclusive collaboration practices
• Integrity: Honest reporting of results including negative findings

• Multiple Validation: Independent validation by multiple researchers
• Cross-Platform Testing: Validation across different computational environments
• Long-term Monitoring: Ongoing validation of published results
• Community Verification: Open community verification processes

• Regular Updates: Regular review and updating of standards
• Community Input: Integration of community feedback and suggestions
• Best Practice Evolution: Adoption of emerging best practices
• Training Programs: Ongoing training in scientific methodology

• Research Guidelines
• Peer Review Process
• Contributing Guidelines