# D4D Generation Summary for AI_READI Individual Source Documents

**Generation Date:** 2025-12-06
**Generation Method:** Claude Code Agent Deterministic (in-session synthesis)
**Schema:** src/data_sheets_schema/schema/data_sheets_schema_all.yaml
**Output Directory:** data/d4d_individual/claudecode_agent/AI_READI/

## Files Processed

Total source files: 13
Total D4D YAML files generated: 13

### Source Files

1. `RePORT ⟩ RePORTER - AI-READI.txt` (7.7KB) - NIH grant information
2. `e097449.full_row2.txt` (55KB) - BMJ Open protocol paper
3. `docs_aireadi_org_docs-2_row8.txt` (4.1KB) - Dataset documentation v2.0.0
4. `docs_aireadi_org_docs-2_row10.txt` (4.3KB) - Dataset documentation v2.0.0 (deprecated)
5. `zenodo_org_records-10642459_row11.txt` (168KB) - Zenodo record (corrupted PDF)
6. `doi_row2.json` (243B) - DOI references
7. `doi_row9.json` (119B) - Zenodo DOI reference
8. `docs_google_com_document-d_row11.txt` (350B) - IRB protocol (Google Docs placeholder)
9. `docs_google_com_document-d_row13.txt` (263B) - IRB protocol (Google Docs placeholder)
10. `fairhub_row10.json` (107B) - FAIRhub reference
11. `fairhub_row12.json` (107B) - FAIRhub reference
12. `fairhub_row13.json` (107B) - FAIRhub reference
13. `fairhub_row16.json` (107B) - FAIRhub reference

### Generated D4D Files

All files successfully generated and validated:

1. ✓ `RePORT_RePORTER_AI-READI_d4d.yaml` - Comprehensive grant metadata with 19 PIs
2. ✓ `e097449_full_row2_d4d.yaml` - Cross-sectional study protocol details
3. ✓ `docs_aireadi_org_docs-2_row8_d4d.yaml` - Dataset documentation metadata
4. ✓ `docs_aireadi_org_docs-2_row10_d4d.yaml` - Deprecated version metadata
5. ✓ `zenodo_org_records-10642459_row11_d4d.yaml` - Minimal Zenodo reference
6. ✓ `doi_row2_d4d.yaml` - Publication DOI references
7. ✓ `doi_row9_d4d.yaml` - Zenodo DOI reference
8. ✓ `docs_google_com_document-d_row11_d4d.yaml` - IRB protocol reference
9. ✓ `docs_google_com_document-d_row13_d4d.yaml` - IRB protocol reference
10. ✓ `fairhub_row10_d4d.yaml` - FAIRhub dataset reference
11. ✓ `fairhub_row12_d4d.yaml` - FAIRhub dataset reference
12. ✓ `fairhub_row13_d4d.yaml` - FAIRhub dataset reference
13. ✓ `fairhub_row16_d4d.yaml` - FAIRhub dataset reference

## Validation Results

**All 13 files passed LinkML schema validation ✓**

Validation command used:
```bash
poetry run linkml-validate -s src/data_sheets_schema/schema/data_sheets_schema_all.yaml -C Dataset <file>
```

## Key Metadata Extracted

### From NIH RePORTER (RePORT_RePORTER_AI-READI_d4d.yaml)
- **Grant:** 1OT2OD032644-01
- **PI:** Aaron Lee (University of Washington)
- **Co-PIs:** 18 investigators from multiple institutions
- **Funding:** $5,026,499 (FY 2022)
- **Duration:** 2022-09-01 to 2025-08-31
- **4 purposes** including salutogenesis research, temporal atlas, scalable model, training

### From BMJ Protocol (e097449_full_row2_d4d.yaml)
- **DOI:** 10.1136/bmjopen-2024-097449
- **Study design:** Cross-sectional
- **Target enrollment:** 4000 people aged 40+
- **Sites:** Birmingham AL, San Diego CA, Seattle WA
- **8 creators** from UAB, UCSD, UW
- **License:** CC BY-NC
- **Publication:** 2025-02-06

### From Dataset Documentation (docs_aireadi_org_docs-2_row*.yaml)
- **Version:** v2.0.0 (with deprecated v2.0.0 also documented)
- **Access:** Mixed (public with license + controlled with DUA)
- **Focus:** Salutogenesis in T2DM using AI/ML approaches

## Notes on Source Quality

- **High-quality sources:** RePORTER page, BMJ protocol paper, dataset documentation
- **Minimal sources:** FAIRhub JSON placeholders contain only URL/ID
- **Corrupted sources:** Zenodo PDF appears corrupted, minimal metadata extractable
- **Inaccessible sources:** Google Docs IRB protocol requires JavaScript, only title extracted

## Schema Compliance

All generated files strictly adhere to the D4D schema. Invalid fields were removed during validation including:
- `organizations` (moved to Creator descriptions)
- `project_start_date`, `project_end_date` (not in schema)
- `data_modality` (not in Dataset class)
- `data_access_type` (not in Dataset class)
- `sample_size`, `target_population`, `sampling_strategy` (not in Dataset class)
- `study_design`, `irb_approval`, `publication_date` (not in Dataset class)

## Completeness Assessment

- **Comprehensive (3 files):** RePORT, BMJ protocol, docs v2.0.0
- **Partial (2 files):** docs v2.0.0 deprecated, Zenodo
- **Minimal (8 files):** FAIRhub references, DOI references, Google Docs placeholders

The comprehensive files contain rich metadata including purposes, creators, funders, and detailed descriptions suitable for dataset discovery and citation.
