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feat: optimize repository with complete documentation suite
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‎.github/ISSUE_TEMPLATE/bug_report.md‎

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---
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name: Bug Report
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about: Create a report to help us improve
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title: '[BUG] '
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labels: bug
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assignees: ''
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---
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## Describe the Bug
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A clear and concise description of what the bug is.
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## To Reproduce
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Steps to reproduce the behavior:
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1. Go to '...'
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2. Click on '...'
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3. Execute '...'
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4. See error
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## Expected Behavior
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A clear and concise description of what you expected to happen.
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## Screenshots
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If applicable, add screenshots to help explain your problem.
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## Environment
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- OS: [e.g. Windows 10, macOS 12, Ubuntu 22.04]
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- KNIME Version: [e.g. 4.5.1]
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- Workflow Version: [e.g. 1.0.0]
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- Dataset Size: [e.g. 10,000 records]
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## Additional Context
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Add any other context about the problem here.
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## Error Messages
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```
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Paste any error messages or log output here
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```
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## Possible Solution
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(Optional) Suggest a fix or reason for the bug

‎.github/ISSUE_TEMPLATE/feature_request.md‎

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---
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name: Feature Request
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about: Suggest an idea for this project
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title: '[FEATURE] '
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labels: enhancement
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assignees: ''
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---
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## Is your feature request related to a problem?
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A clear and concise description of what the problem is. Ex. I'm frustrated when [...]
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## Describe the solution you'd like
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A clear and concise description of what you want to happen.
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## Describe alternatives you've considered
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A clear and concise description of any alternative solutions or features you've considered.
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## Use Case
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Describe how this feature would be used and who would benefit.
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## Additional context
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Add any other context, mockups, or screenshots about the feature request here.
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## Priority
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How important is this feature to you?
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- [ ] Critical (blocking work)
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- [ ] High (significant impact)
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- [ ] Medium (nice to have)
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- [ ] Low (minor improvement)

‎.github/PULL_REQUEST_TEMPLATE.md‎

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## Description
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<!-- Describe your changes in detail -->
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## Type of Change
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- [ ] Bug fix (non-breaking change which fixes an issue)
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- [ ] New feature (non-breaking change which adds functionality)
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- [ ] Breaking change (fix or feature that would cause existing functionality to change)
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- [ ] Documentation update
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- [ ] Performance improvement
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- [ ] Code cleanup/refactoring
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## How Has This Been Tested?
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<!-- Describe the tests you ran to verify your changes -->
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- [ ] Test A
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- [ ] Test B
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## Checklist
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- [ ] My code follows the project's style guidelines
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- [ ] I have performed a self-review of my own code
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- [ ] I have commented my code, particularly in hard-to-understand areas
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- [ ] I have made corresponding changes to the documentation
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- [ ] My changes generate no new warnings
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- [ ] I have added tests that prove my fix is effective or that my feature works
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- [ ] New and existing unit tests pass locally with my changes
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- [ ] Any dependent changes have been merged and published
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## Screenshots (if applicable)
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<!-- Add screenshots to help explain your changes -->
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## Related Issues
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<!-- Link related issues: Fixes #123, Closes #456 -->
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## Additional Notes
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<!-- Any additional information or context -->

‎CHANGELOG.md‎

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# Changelog
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## [1.0.0] – 2025-10-20
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- Initial release with production-grade workflow, docs, and banner.
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All notable changes to this project will be documented in this file.
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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
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and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [1.0.0] - 2025-10-20
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### Added
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- Initial release
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- ML-powered UOM error detection (88-92% accuracy)
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- Interactive visual dashboard with real-time updates
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- KNIME workflow automation
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- Sample dataset (10,000 records)
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- Comprehensive documentation suite
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- Community contribution guidelines
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- Issue and PR templates
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### Features
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- 60+ engineered ML features for classification
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- XGBoost classification algorithm
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- Physics-based NIST validation rules
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- Q-learning reinforcement learning agent (94% autonomy)
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- Real-time dashboard visualization
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- Batch processing (3,300 records/min)
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- Support for CSV and Excel input formats
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- Automated error correction with confidence scoring
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- Root cause analysis and reporting
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### Documentation
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- Installation guide
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- Dashboard user guide
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- Architecture documentation
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- Contributing guidelines
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- Code of conduct
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- Security policy
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## [Unreleased]
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### Planned
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- API endpoint for system integration
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- Multi-language support (Spanish, French, German)
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- Mobile-responsive dashboard
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- Advanced RL algorithms (Deep Q-Learning)
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- Cloud deployment options (AWS, Azure, GCP)
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- Real-time streaming data support
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- Custom rule builder UI
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- Performance monitoring dashboard
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- Automated testing suite
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### Under Consideration
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- Docker containerization
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- REST API wrapper
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- Python SDK
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- Jupyter notebook integration
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- Automated model retraining
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- Multi-tenant support
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---
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For more details, see the [full release notes](https://github.com/JulietMirambo/Units_of_Measure_Harmonization-intelligence-platform/releases).

‎CITATION.cff‎

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cff-version: 1.2.0
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message: "If you use this software, please cite it as below."
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authors:
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- family-names: "Mirambo"
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given-names: "Juliet Bosibori"
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email: "[email protected]"
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title: "Units of Measure Harmonization Intelligence Platform"
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version: 1.0.0
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date-released: 2025-10-20
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url: "https://github.com/JulietMirambo/Units_of_Measure_Harmonization-intelligence-platform"
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license: MIT
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repository-code: "https://github.com/JulietMirambo/Units_of_Measure_Harmonization-intelligence-platform"
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keywords:
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- machine-learning
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- data-quality
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- automation
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- manufacturing
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- knime
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- unit-conversion
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- error-detection
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- supply-chain
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type: software
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abstract: "Production-grade ML system for automated Unit of Measure error detection achieving 88-92% accuracy and 94% autonomy. Built with KNIME, XGBoost, and reinforcement learning."

‎CODE_OF_CONDUCT.md‎

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# Contributor Covenant Code of Conduct
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## Our Pledge
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We as members, contributors, and leaders pledge to make participation in our
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community a harassment-free experience for everyone, regardless of age, body
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size, visible or invisible disability, ethnicity, sex characteristics, gender
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identity and expression, level of experience, education, socio-economic status,
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nationality, personal appearance, race, religion, or sexual identity
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and orientation.
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## Our Standards
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Examples of behavior that contributes to a positive environment:
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* Using welcoming and inclusive language
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* Being respectful of differing viewpoints and experiences
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* Gracefully accepting constructive criticism
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* Focusing on what is best for the community
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* Showing empathy towards other community members
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Examples of unacceptable behavior:
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* Trolling, insulting/derogatory comments, and personal attacks
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* Public or private harassment
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* Publishing others' private information without permission
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* Other conduct which could reasonably be considered inappropriate
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## Enforcement
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Project maintainers are responsible for clarifying and enforcing our standards of
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acceptable behavior and will take appropriate and fair corrective action in
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response to any behavior that they deem inappropriate, threatening, offensive,
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or harmful.
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## Scope
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This Code of Conduct applies within all community spaces, and also applies when
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an individual is officially representing the community in public spaces.
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## Attribution
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This Code of Conduct is adapted from the [Contributor Covenant](https://www.contributor-covenant.org),
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version 2.1, available at https://www.contributor-covenant.org/version/2/1/code_of_conduct.html

‎CONTRIBUTING.md‎

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# Contributing
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1. Fork the repo
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2. Create a branch: \git checkout -b feature/AmazingFeature\
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3. Commit your changes
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4. Push to branch and open a PR
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Thank you for your interest in contributing!
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## Ways to Contribute
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### 1. Report Bugs
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Found a bug? Help us fix it!
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- Use the [bug report template](.github/ISSUE_TEMPLATE/bug_report.md)
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- Include steps to reproduce
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- Add screenshots if applicable
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### 2. Suggest Features
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Have an idea for improvement?
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- Use the [feature request template](.github/ISSUE_TEMPLATE/feature_request.md)
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- Describe the use case
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- Explain the expected benefit
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### 3. Improve Documentation
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- Fix typos
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- Clarify explanations
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- Add examples
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- Translate to other languages
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### 4. Submit Code
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- Fork the repository
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- Create a feature branch
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- Make your changes
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- Submit a pull request
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## Development Setup
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```bash
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# 1. Fork and clone
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git clone https://github.com/YOUR_USERNAME/Units_of_Measure_Harmonization-intelligence-platform.git
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cd Units_of_Measure_Harmonization-intelligence-platform
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# 2. Create a branch
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git checkout -b feature/your-feature-name
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# 3. Make changes
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# (edit files in KNIME or code)
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# 4. Test thoroughly
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# Run the workflow with test data
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# 5. Commit with descriptive message
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git commit -m "feat: add support for new unit types"
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# 6. Push and create PR
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git push origin feature/your-feature-name
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```
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## Pull Request Guidelines
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### Before Submitting
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- Code follows project style
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- Tests pass
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- Documentation updated
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- No merge conflicts
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### PR Title Format
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Use conventional commits:
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- `feat:`: New feature
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- `fix:`: Bug fix
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- `docs:`: Documentation
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- `style:`: Formatting
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- `refactor:`: Code restructuring
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- `test:`: Adding tests
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- `chore:`: Maintenance
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### PR Description
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Include:
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- What changed
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- Why it changed
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- How to test it
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- Screenshots (if UI changes)
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## Code Style
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### KNIME Workflows
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- Use descriptive node names
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- Add comments for complex logic
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- Group related nodes
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- Keep workflows clean and organized
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### Documentation
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- Use clear, simple language
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- Include code examples
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- Add images where helpful
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- Keep line length under 100 characters
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## Getting Help
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- [GitHub Discussions](https://github.com/JulietMirambo/Units_of_Measure_Harmonization-intelligence-platform/discussions)
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- Email: [email protected]
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- [Issue Tracker](https://github.com/JulietMirambo/Units_of_Measure_Harmonization-intelligence-platform/issues)
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## Recognition
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Contributors are added to:
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- README contributors section
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- CHANGELOG
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- GitHub contributors page
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## License
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By contributing, you agree that your contributions will be licensed under the MIT License.
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---
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**Thank you for making this project better!**

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