# VOICE D4D Generation Summary

**Generated:** 2025-12-06
**Generation Method:** Claude Code Agent Deterministic
**Output Directory:** `/Users/marcin/Documents/VIMSS/ontology/bridge2ai/data-sheets-schema/data/d4d_individual/claudecode_agent/VOICE/`

## Overview

Successfully generated D4D (Datasheets for Datasets) metadata files for all 9 VOICE individual source documents. All files validate successfully against the D4D LinkML schema.

## Source Files Processed

1. **physionet_b2ai-voice_1.1_row14.txt** (21,806 bytes)
   - PhysioNet dataset landing page (version 1.1)
   - Contains comprehensive dataset description, methods, and metadata

2. **physionet_b2ai-voice_1.1_row17.txt** (21,521 bytes)
   - Alternative PhysioNet page view
   - Similar content with raw audio access information

3. **B2AI-Voice_DTUA_2025.txt** (16,810 bytes)
   - Data Transfer and Use Agreement template
   - Legal terms and conditions for data access

4. **B2AI-Voice DTUA 2025 2025-09-04.txt** (16,810 bytes)
   - Updated DTUA version from September 2025
   - Identical content to above

5. **docs_google_com_document-d_row13.txt** (219 bytes)
   - Google Docs reference (minimal content)

6. **github_eipm_bridge2ai-docs_row22.json** (369 bytes)
   - GitHub repository metadata in JSON format

7. **github_eipm_bridge2ai-docs_README_row22.md** (1,311 bytes)
   - GitHub repository README documentation

8. **healthnexus_row13.json** (109 bytes)
   - Health Data Nexus metadata reference

9. **RePORT ⟩ RePORTER - VOICE.txt** (8,319 bytes)
   - NIH RePORTER project information

## Generated D4D Files

All files follow the naming pattern: `{source_filename}_d4d.yaml`

### File Details

| Filename | Size | Validation | Key Content |
|----------|------|------------|-------------|
| physionet_b2ai-voice_1.1_row14_d4d.yaml | 1.9K | ✓ PASS | Full dataset metadata with DOI, creators, subsets |
| physionet_b2ai-voice_1.1_row17_d4d.yaml | 1.9K | ✓ PASS | Similar to above, version 1.1 metadata |
| B2AI-Voice_DTUA_2025_d4d.yaml | 1.3K | ✓ PASS | License terms, ethics, consent information |
| B2AI-Voice DTUA 2025 2025-09-04_d4d.yaml | 1.3K | ✓ PASS | Updated license and use terms |
| docs_google_com_document-d_row13_d4d.yaml | 346B | ✓ PASS | Minimal documentation reference |
| github_eipm_bridge2ai-docs_row22_d4d.yaml | 518B | ✓ PASS | GitHub repo metadata (JSON format) |
| github_eipm_bridge2ai-docs_README_row22_d4d.yaml | 847B | ✓ PASS | Technical documentation (Markdown) |
| healthnexus_row13_d4d.yaml | 484B | ✓ PASS | Health Data Nexus platform info |
| RePORT ⟩ RePORTER - VOICE_d4d.yaml | 597B | ✓ PASS | NIH funding information |

## Validation Results

**Total Files:** 9
**Validation Status:** All PASS (100%)
**Validation Command:** `poetry run linkml-validate -s src/data_sheets_schema/schema/data_sheets_schema_all.yaml -C Dataset <file>`

All generated YAML files successfully validate against the D4D schema with no errors.

## D4D Schema Coverage

The generated files include the following D4D schema elements where applicable:

### Core Metadata
- `id` - Unique identifier (DOI for main dataset, custom IDs for others)
- `name` - Dataset name
- `title` - Full descriptive title
- `description` - Dataset description
- `page` - Landing page URL
- `language` - Language code (en)
- `keywords` - Searchable keywords
- `version` - Version number (for versioned datasets)

### Motivation Section
- `creators` - Research team and institutions
- `funders` - NIH funding information with grant numbers
- `purposes` - Dataset creation purpose and goals

### Composition Section
- `subsets` - Data file subsets (spectrograms, MFCC, phenotype data)

### Collection & Ethics
- `ethical_reviews` - IRB approval information
- `informed_consent` - Consent status and details
- `is_deidentified` - De-identification methods (HIPAA Safe Harbor)

### Distribution
- `license_and_use_terms` - Data use agreements and restrictions

## Key Extracted Information

### Dataset Identity
- **DOI:** 10.13026/249v-w155 (version 1.1)
- **Latest DOI:** 10.13026/37yb-1t42
- **Platform:** PhysioNet
- **Project Website:** https://docs.b2ai-voice.org

### Research Team
Principal authors include:
- Alistair Johnson
- Jean-Christophe Bélisle-Pipon
- David Dorr
- Satrajit Ghosh
- Philip Payne
- Maria Powell
- Anais Rameau
- Vardit Ravitsky
- Alexandros Sigaras
- Olivier Elemento
- Yael Bensoussan

### Funding
- **Agency:** National Institutes of Health (NIH)
- **Award:** 3OT2OD032720-01S1
- **Project:** Bridge2AI: Voice as a Biomarker of Health

### Data Composition
1. **spectrograms.parquet** - Time-frequency power spectrograms (513 x N dimension)
2. **mfcc.parquet** - Mel-frequency cepstral coefficients (60 x N dimension)
3. **phenotype.tsv** - Participant demographics and questionnaire responses
4. **static_features.tsv** - Acoustic features from multiple toolkits

### Ethics & Privacy
- IRB approval from University of South Florida
- HIPAA Safe Harbor de-identification
- Certificate of Confidentiality coverage
- Informed consent from all participants
- Data Transfer and Use Agreement required for access

## Generation Methodology

### Script: `generate_voice_d4d.py`
- **Language:** Python 3
- **Dependencies:** pathlib, yaml, datetime
- **Approach:** Content-based metadata extraction with pattern matching
- **Output:** YAML files with schema-compliant structure

### Extraction Logic
1. Read source file content
2. Detect content type (PhysioNet, DTUA, GitHub, RePORTER, etc.)
3. Extract relevant metadata based on content patterns
4. Generate schema-compliant YAML structure
5. Add generation metadata in header comments
6. Write to output directory

### Validation Script: `validate_voice_d4d.py`
- Runs `linkml-validate` on all generated files
- Reports pass/fail status for each file
- Generates summary statistics

## Schema Compliance

All files comply with the D4D LinkML schema defined in:
- **Schema File:** `src/data_sheets_schema/schema/data_sheets_schema_all.yaml`
- **Target Class:** Dataset
- **Required Fields:** id, name (both present in all files)
- **Optional Fields:** Used appropriately based on available information

## File Organization

```
data/d4d_individual/claudecode_agent/VOICE/
├── B2AI-Voice DTUA 2025 2025-09-04_d4d.yaml
├── B2AI-Voice_DTUA_2025_d4d.yaml
├── docs_google_com_document-d_row13_d4d.yaml
├── github_eipm_bridge2ai-docs_README_row22_d4d.yaml
├── github_eipm_bridge2ai-docs_row22_d4d.yaml
├── healthnexus_row13_d4d.yaml
├── physionet_b2ai-voice_1.1_row14_d4d.yaml
├── physionet_b2ai-voice_1.1_row17_d4d.yaml
└── RePORT ⟩ RePORTER - VOICE_d4d.yaml
```

## Future Enhancements

To improve the generated D4D files in future iterations:

1. **Richer Metadata Extraction**
   - Extract more detailed creator information (affiliations, ORCID)
   - Parse references and citations
   - Extract detailed methodology descriptions

2. **Additional Schema Elements**
   - `tasks` - Specific machine learning tasks
   - `addressing_gaps` - Research gaps addressed
   - `instances` - Detailed instance counts and statistics
   - `acquisition_methods` - Data collection methods
   - `preprocessing_strategies` - Processing pipelines
   - `cleaning_strategies` - Data cleaning steps
   - `distribution_formats` - Detailed format information
   - `future_use_impacts` - Intended use cases
   - `discouraged_uses` - Inappropriate uses

3. **LLM-Enhanced Extraction**
   - Use large language models for deeper semantic understanding
   - Extract implicit metadata from narrative descriptions
   - Generate comprehensive descriptions from technical details

4. **Cross-Document Synthesis**
   - Merge information from multiple sources about the same dataset
   - Resolve conflicts and choose most authoritative information
   - Create comprehensive combined metadata

## Conclusion

Successfully generated and validated D4D metadata files for all 9 VOICE individual source documents. The files capture key dataset information including:

- Dataset identity and versioning
- Research team and funding
- Data composition and formats
- Ethics approvals and consent
- De-identification methods
- Access requirements and licensing

All files validate successfully against the D4D schema and provide a structured, machine-readable representation of the VOICE dataset documentation.

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**Generation Scripts:**
- `/Users/marcin/Documents/VIMSS/ontology/bridge2ai/data-sheets-schema/generate_voice_d4d.py`
- `/Users/marcin/Documents/VIMSS/ontology/bridge2ai/data-sheets-schema/validate_voice_d4d.py`

**Validation Status:** ✓ All files validated successfully (9/9 PASS)
