Official Resources
- Source Repository: https://github.com/materialsproject/MPContribs
- Documentation: https://mpcontribs.readthedocs.io/
- PyPI: https://pypi.org/project/mpcontribs-client/
- License: Open source (modified BSD)
Overview
MPContribs is a platform and API for contributing computational and experimental data to the Materials Project. It provides tools for uploading, validating, and sharing materials data within the MP ecosystem, enabling community contributions alongside core MP data.
Scientific domain: Materials Project data contribution, community data sharing
Target user community: Researchers contributing data to Materials Project or accessing contributed data
Theoretical Methods
- Data contribution to Materials Project
- Data validation and formatting
- API for contributing and retrieving data
- Project-based data organization
- Interactive data exploration
Capabilities (CRITICAL)
- Upload data to Materials Project
- Data validation and formatting
- Retrieve contributed data via API
- Project-based organization
- Interactive web exploration
- Contribution tracking
Sources: GitHub repository, MP documentation
Key Strengths
Data Contribution:
- Computational and experimental data
- Structured data format
- Validation before upload
- API-based submission
Data Access:
- Query contributed data
- Integration with MP data
- Web interface exploration
- Programmatic access
Community:
- Share research data
- Standardized format
- Persistent identifiers
- Citation support
Inputs & Outputs
- Input formats: Structured data (Python dict, pandas DataFrame)
- Output data types: Contributed data records, web visualizations
Interfaces & Ecosystem
- Materials Project: Data platform
- mp-api: Data access
- pymatgen: Structure handling
- Python: Core language
Performance Characteristics
- Speed: Fast (API)
- Data size: Per-project limits
- Rate limits: API key required
Computational Cost
- API queries: Free (with key)
- No DFT needed: Data contribution
Limitations & Known Constraints
- MP account required: Must register
- Data format: Must follow MPContribs schema
- Size limits: Per-project restrictions
- Review process: Contributions reviewed
Comparison with Other Codes
- vs NOMAD: MPContribs is MP-specific, NOMAD is general repository
- vs OPTIMADE: MPContribs is contribution, OPTIMADE is query
- vs mp-api: MPContribs is write, mp-api is read
- Unique strength: Platform for contributing and sharing materials data within the Materials Project ecosystem
Application Areas
Data Sharing:
- Publish computational datasets
- Share experimental data
- Supplement publications
- Community data resources
Data Access:
- Query contributed datasets
- Combine with core MP data
- Cross-reference calculations
- Benchmark datasets
Best Practices
Contribution:
- Follow MPContribs data schema
- Validate data before upload
- Include proper citations
- Document data provenance
Community and Support
- Open source (modified BSD)
- PyPI installable (mpcontribs-client)
- Materials Project team maintained
- ReadTheDocs documentation
Verification & Sources
Primary sources:
- GitHub: https://github.com/materialsproject/MPContribs
Confidence: VERIFIED
Verification status: ✅ VERIFIED
- Source code: ACCESSIBLE (GitHub)
- PyPI: AVAILABLE
- Specialized strength: Platform for contributing and sharing materials data within the Materials Project ecosystem