# BlueLedger Enhanced Dataset Schema v2.0

## Overview
This document describes the data structure for the BlueLedger Enhanced Police Officer Directory dataset.

## Dataset Structure

### Top Level
```json
{
  "dataset_metadata": { ... },
  "officers": [ ... ]
}
```

### dataset_metadata
- **name**: Dataset name
- **version**: Semantic version number
- **generated_at**: ISO 8601 timestamp
- **total_officers**: Count of officer records
- **total_offense_records**: Total offense incidents across all officers
- **compliance**: App store and data standards compliance info
- **sources**: List of data sources with verification levels

### officer Record

#### officer_id
Unique identifier: `BL-{STATE}-{NUMBER}`
Example: `BL-WA-000001`

#### personal_info
- **full_name**: Complete name as recorded
- **name_last**: Last name/surname
- **name_first**: First name/given name

#### employment
- **department**: Law enforcement agency name
- **state**: Full state name
- **rank**: Officer rank/position
- **status**: Employment status (Active, Inactive, Terminated, Retired)
- **badge_number**: Badge/shield number (if available)
- **hire_date**: Date of hire (ISO 8601)
- **separation_date**: Date of separation (ISO 8601, null if active)

#### certification
- **certification_status**: POST certification status
- **certification_number**: State POST certification ID
- **certification_date**: Date certification issued
- **expiration_date**: Certification expiration date
- **state_post_agency**: State jurisdiction
- **certifying_authority**: Full name of POST agency

#### verification_sources
- **primary_gov_source**: Official state POST commission
  - **url**: Official .gov URL (required for app store compliance)
  - **agency**: Agency name
  - **verified**: Verification status (boolean)
  - **last_verified**: Last verification timestamp
- **profile_links**: Array of secondary sources (CPDP, etc.)

#### offense_records
- **total_count**: Total number of recorded incidents
- **categories**: Breakdown by offense type
  - use_of_force
  - misconduct
  - civil_rights_violation
  - criminal_charges
  - policy_violation
  - excessive_force
  - other
- **incidents**: Array of incident objects

##### incident Object
- **incident_id**: Unique incident identifier
- **date**: Incident date (ISO 8601)
- **category**: Incident category
- **description**: Detailed description
- **disposition**: Investigation outcome (Sustained, Not Sustained, Exonerated, Unfounded, etc.)
- **discipline**: Disciplinary action taken
- **verification_source**: Source documentation
  - **type**: Source type (Internal Affairs, Court Record, etc.)
  - **url**: Source URL (preferably .gov)
  - **document_id**: Official document ID
  - **verified**: Verification status
- **status**: Case status (Open, Closed, Under Investigation)
- **legal_outcome**: Legal proceedings info
  - **civil_lawsuit**: Boolean
  - **criminal_charges**: Boolean
  - **settlement_amount**: Dollar amount if applicable

#### data_quality
- **completeness_score**: 0-100 score indicating data completeness
- **has_gov_verification**: Boolean indicating .gov link presence
- **last_updated**: Last update timestamp
- **data_source**: Original data source

## Data Standards

### App Store Compliance
- ✅ All officer records MUST have a valid .gov verification URL
- ✅ Offense records MUST cite verifiable sources
- ✅ No unverified allegations included
- ✅ Clear data provenance and update timestamps

### URL Requirements
- Primary sources MUST be official government (.gov) domains
- State POST commission URLs are the gold standard
- Secondary sources (CPDP, etc.) are supplementary

### Date Format
All dates use ISO 8601: `YYYY-MM-DD` or `YYYY-MM-DDTHH:MM:SSZ`

### Null Values
- `null` used for unavailable data (not empty strings)
- Distinguished from "Unknown" which indicates active uncertainty

## Usage Examples

### Python
```python
import json

with open('blueledger_enhanced_v2.json', 'r') as f:
    data = json.load(f)

# Access officers
for officer in data['officers']:
    print(f"{officer['personal_info']['full_name']} - {officer['employment']['department']}")
    print(f"Gov Verification: {officer['verification_sources']['primary_gov_source']['url']}")
    print(f"Total Offenses: {officer['offense_records']['total_count']}")
```

### Pandas
```python
import pandas as pd

# Load CSV
df = pd.read_csv('blueledger_enhanced_v2.csv')

# Filter officers with offenses
officers_with_offenses = df[df['total_offenses'] > 0]

# Group by state
state_summary = df.groupby('state').agg({
    'officer_id': 'count',
    'total_offenses': 'sum'
})
```

## Data Integration Notes

### Adding Offense Records
Real offense data should be sourced from:
1. State POST disciplinary databases
2. Court records (PACER, state court systems)
3. Internal affairs reports (via FOIA requests)
4. Verified journalist databases (CPDP, etc.)

### Verification Workflow
1. Obtain source document
2. Verify authenticity via .gov source
3. Extract structured data
4. Add verification metadata
5. Update last_verified timestamp

## License
Public Domain - Government Data

## Contact
For questions or contributions, see README.md