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Implementation Status: Media Data Source Expansion

Date: 2025-01-24 Status: Phase 1 Complete, Ready for Testing

Overview

Implementation of comprehensive tracking and integration system for expanding CultureMech media data sources from 3 (MediaDive, TOGO, ATCC) to 18+ potential sources, with 4-5 priority integrations.

Completed: Phase 1 - Infrastructure & High-Priority Sources

✅ 1. Master Tracking Table

  • Created: data/MEDIA_SOURCES.tsv
  • Contents: 18 data sources with metadata
    • Source IDs, names, URLs, API endpoints
    • Record counts, data formats, access methods
    • Download status, priority levels
    • Integration notes and labels
  • Status: Complete and ready for updates as sources are integrated

✅ 2. Documentation

Created comprehensive guides:

  1. data/MEDIA_INTEGRATION_GUIDE.md

    • Step-by-step instructions for adding new sources
    • Templates for fetchers and importers
    • Ethical scraping guidelines
    • Cross-referencing strategies
    • Quality control checklists

  2. data/DATA_SOURCES_SUMMARY.md

    • High-level overview of all sources
    • Integration timeline and phases
    • Expected coverage projections
    • Data governance policies

  3. Source-specific READMEs:

    • raw/bacdive/README.md - BacDive integration guide
    • raw/nbrc/README.md - NBRC scraping guide

✅ 3. BacDive Integration (Priority 1)

Fetcher: src/culturemech/fetch/bacdive_fetcher.py

  • Uses official bacdive Python client
  • Two-stage fetch: strain IDs → cultivation data
  • Extracts 66,570+ cultivation datasets
  • Identifies unique media references
  • Implements rate limiting and error handling

Importer: src/culturemech/import/bacdive_importer.py

  • Converts BacDive cultivation data to CultureMech YAML
  • Skips DSMZ media (overlap with MediaDive)
  • Imports unique media not in existing sources
  • Exports organism→media associations for enrichment
  • Full provenance tracking

Build Commands:

just fetch-bacdive-raw [limit]           # Fetch with optional limit
just import-bacdive [limit]              # Import media
just import-bacdive-stats                # Show statistics
just bacdive-export-associations         # Export org→media links

Expected Output:

  • ~500 new unique media recipes
  • 66,000+ organism→media associations
  • Cross-references to MediaDive for DSMZ media

✅ 4. NBRC Integration (Priority 1)

Scraper: src/culturemech/fetch/nbrc_scraper.py

  • Ethical web scraping with 2s delays
  • Checks robots.txt compliance
  • Caches HTML pages locally
  • Respectful user agent
  • Error handling and retry logic

Importer: src/culturemech/import/nbrc_importer.py

  • Converts scraped NBRC data to CultureMech YAML
  • Infers medium types from names/ingredients
  • Maps to appropriate categories (bacterial, fungal, etc.)
  • Full provenance tracking

Build Commands:

just scrape-nbrc-raw [limit]             # Scrape with optional limit
just import-nbrc [limit]                 # Import media
just import-nbrc-stats                   # Show statistics

Expected Output:

  • ~400 scraped media recipes
  • ~200 unique after deduplication with TOGO
  • Japanese BRC perspective

✅ 5. Updated Build System

Modified: project.justfile

  • Added BacDive fetch/import commands
  • Added NBRC scrape/import commands
  • Updated show-raw-data-stats to include new sources
  • Updated fetch-raw-data to note optional sources

Modified: pyproject.toml

  • Added bacdive>=1.0.0 dependency
  • Added beautifulsoup4>=4.12.0 dependency

Modified: .gitignore

  • Added patterns for HTML and SQL files
  • Added NBRC scraped cache directory
  • Maintains exclusion of large data files

✅ 6. Updated Documentation

Modified: README.md

  • Added "Data Sources" section
  • Table of integrated and available sources
  • Coverage statistics (current and projected)
  • Fetch commands for new sources

Not Yet Implemented: Phases 2-4

🔲 Phase 2: KOMODO & MediaDB (Priority 1)

Status: Not started Files to create:

  • src/culturemech/fetch/komodo_fetcher.py
  • src/culturemech/import/komodo_importer.py
  • src/culturemech/import/mediadb_importer.py
  • raw/komodo/README.md
  • raw/mediadb/README.md

Expected Value:

  • KOMODO: Standardized molar concentrations for 3,335 media
  • MediaDB: 65 chemically defined media for model organisms

🔲 Phase 3: Algae Collections (Priority 2)

Status: Not started Sources: UTEX, CCAP, SAG Expected Value: 200-300 algae media (fills current gap)

🔲 Phase 4: Cross-Referencing & Enrichment

Status: Not started Features needed:

  • Fuzzy name matching for duplicate detection
  • Ingredient composition similarity (Jaccard index)
  • Cross-reference database (data/processed/media_crossref.tsv)
  • Enrichment pipeline to backfill data to existing recipes

Testing Status

✅ Ready for Testing

All Phase 1 components are ready for testing:

  1. BacDive Fetcher:

    # Test with 10 strains (recommended first test)
just fetch-bacdive-raw 10

# Check output
just show-raw-data-stats

  2. BacDive Importer:

    # Import test data
just import-bacdive 10

# Validate
just validate-all

  3. NBRC Scraper:

    # Test with 5 media (recommended first test)
just scrape-nbrc-raw 5

# Check output
just show-raw-data-stats

  4. NBRC Importer:

    # Import test data
just import-nbrc 5

# Validate
just validate-all

🔲 Not Yet Tested

  • Full BacDive fetch (66K+ strains) - will take hours
  • Full NBRC scrape (400 media) - will take ~15 minutes
  • Schema validation of imported recipes
  • Chemical mapping coverage
  • Cross-referencing with existing sources

Usage Notes

Prerequisites

  1. For BacDive:

    • Free registration at https://bacdive.dsmz.de/
    • Set environment variables or pass credentials: 
      export BACDIVE_EMAIL="your.email@example.com"
export BACDIVE_PASSWORD="your_password"
    • Package will auto-install on first use

  2. For NBRC:

    • No registration required
    • Package will auto-install on first use
    • Follows ethical scraping guidelines (2s delays)

Recommended Testing Workflow

# 1. Test BacDive (10 strains)
just fetch-bacdive-raw 10
just import-bacdive-stats
just import-bacdive 5

# 2. Test NBRC (5 media)
just scrape-nbrc-raw 5
just import-nbrc-stats
just import-nbrc 5

# 3. Validate imported recipes
just validate-all

# 4. Check statistics
just count-recipes
just show-raw-data-stats

# 5. If tests pass, full fetch (optional)
# just fetch-bacdive-raw     # Takes hours!
# just scrape-nbrc-raw       # Takes ~15 min

File Summary

New Files Created (15 total)

Documentation (3):

  1. data/MEDIA_SOURCES.tsv
  2. data/MEDIA_INTEGRATION_GUIDE.md
  3. data/DATA_SOURCES_SUMMARY.md

BacDive Integration (3): 4. src/culturemech/fetch/bacdive_fetcher.py 5. src/culturemech/import/bacdive_importer.py 6. raw/bacdive/README.md

NBRC Integration (3): 7. src/culturemech/fetch/nbrc_scraper.py 8. src/culturemech/import/nbrc_importer.py 9. raw/nbrc/README.md

This Status Doc (1): 10. IMPLEMENTATION_STATUS.md

Modified Files (4)

  1. pyproject.toml - Added bacdive and beautifulsoup4 dependencies
  2. project.justfile - Added fetch/import commands for BacDive and NBRC
  3. .gitignore - Added patterns for new data files
  4. README.md - Added Data Sources section

Next Steps

Immediate (For Testing)

  1. Test BacDive Integration:

    • Register for BacDive account
    • Test fetch with small limit
    • Verify import creates valid YAML
    • Check schema validation

  2. Test NBRC Integration:

    • Test scraper with small limit
    • Verify HTML caching works
    • Check import creates valid YAML
    • Validate against schema

  3. Verify Build Commands:

    • All just commands execute correctly
    • Statistics display properly
    • Error handling works as expected

Short-term (Week 2)

  1. Implement KOMODO Integration:

    • Download SQL database
    • Create SQL parser
    • Implement concentration enrichment
    • Test with MediaDive cross-referencing

  2. Implement MediaDB Integration:

    • Download MySQL dump
    • Parse database structure
    • Import defined media
    • Cross-reference with existing sources

Medium-term (Weeks 3-4)

  1. Cross-Referencing System:

    • Implement fuzzy name matching
    • Create ingredient similarity calculator
    • Build cross-reference database
    • Deduplication pipeline

  2. Enrichment Pipeline:

    • Use BacDive associations to add organism data
    • Use KOMODO to backfill concentrations
    • Merge duplicate media intelligently

  3. Algae Collections:

    • Implement UTEX scraper
    • Add CCAP PDF parser
    • Complete algae media coverage

Success Metrics

Phase 1 Goals (Current)

  • Infrastructure complete
  • BacDive fetcher/importer implemented
  • NBRC scraper/importer implemented
  • All components tested (awaiting user testing)
  • Schema validation passes (awaiting user testing)

Overall Project Goals

  • ~6,400 unique media recipes (from ~3,500)
  • 70,000+ enrichments (organism links, concentrations)
  • 100% schema validation pass rate
  • Complete provenance for all sources
  • Cross-reference database operational

Known Limitations

  1. BacDive:

    • Requires free registration
    • May take hours for full fetch
    • Media references only (not full recipes)
    • DSMZ overlap requires cross-referencing

  2. NBRC:

    • Web scraping may break if site changes
    • No API available (fragile integration)
    • Some media may have incomplete data
    • Language barriers (Japanese names)

  3. General:

    • Chemical mapping coverage depends on MicrobeMediaParam
    • Cross-referencing not yet automated
    • No enrichment pipeline yet (Phase 4)

Questions for User

  1. Do you have BacDive credentials or should we register?
  2. Should we test with small limits first or proceed with full fetches?
  3. Any specific media sources you want prioritized?
  4. Should we implement KOMODO/MediaDB next, or focus on testing current implementation?

Status: ✅ Phase 1 Complete - Ready for Testing Next: User testing, then proceed to Phase 2 (KOMODO/MediaDB)