research guidelines - zfifteen/unified-framework GitHub Wiki

Research Guidelines

Comprehensive guidelines for conducting research within the Z Framework.

Research Scope

Approved Research Areas

  • Mathematical Foundations: Extensions and refinements of core theory
  • Empirical Validation: Large-scale testing and validation studies
  • Cross-Domain Applications: Extensions to new mathematical domains
  • Computational Methods: Algorithm development and optimization

Research Protocols

  • Hypothesis Formation: Clear, testable hypotheses with mathematical foundations
  • Experimental Design: Rigorous experimental design with appropriate controls
  • Statistical Analysis: Proper statistical methodology with effect size reporting
  • Validation Requirements: Independent replication and cross-validation

Methodological Standards

Theoretical Research

  • Mathematical Rigor: Formal proofs and derivations required
  • Consistency Checking: Verification of consistency with existing theory
  • Computational Verification: Numerical verification of theoretical results
  • Peer Validation: Review by qualified mathematicians

Empirical Research

  • Statistical Power: Adequate sample sizes for statistical power
  • Control Groups: Appropriate control groups and baseline comparisons
  • Measurement Protocols: Standardized measurement and analysis protocols
  • Reproducibility: Complete documentation for independent reproduction

Computational Research

  • Algorithm Validation: Verification of algorithmic correctness
  • Performance Benchmarking: Comprehensive performance analysis
  • Scalability Testing: Validation across different scale ranges
  • Numerical Stability: Verification of numerical stability and precision

Data Management

Data Collection Standards

  • Quality Control: Systematic data quality assurance procedures
  • Documentation: Complete documentation of data sources and processing
  • Version Control: Systematic version control for all datasets
  • Backup Protocols: Reliable backup and recovery procedures

Data Sharing

  • Open Data: Commitment to open data sharing where possible
  • Privacy Protection: Appropriate protection of sensitive data
  • Access Protocols: Clear protocols for data access and usage
  • Attribution: Proper attribution for data sources and contributors

Collaboration Protocols

Internal Collaboration

  • Communication Standards: Clear communication and documentation protocols
  • Role Definition: Clear definition of roles and responsibilities
  • Conflict Resolution: Procedures for resolving research conflicts
  • Credit Assignment: Fair assignment of credit and authorship

External Collaboration

  • Partnership Agreements: Clear agreements for external collaborations
  • IP Protection: Appropriate intellectual property protection
  • Publication Rights: Clear agreements on publication rights and procedures
  • Quality Standards: Maintenance of quality standards in collaborations

Publication and Dissemination

Publication Standards

  • Scientific Rigor: Adherence to highest scientific standards
  • Peer Review: Submission to rigorous peer review processes
  • Open Access: Commitment to open access publication where possible
  • Community Engagement: Active engagement with scientific community

Results Reporting

  • Complete Reporting: Full reporting of methods, results, and limitations
  • Statistical Standards: Proper statistical reporting with effect sizes
  • Negative Results: Reporting of negative and null results
  • Data Availability: Making underlying data available for verification

See Also

⚠️ **GitHub.com Fallback** ⚠️