# Detailed Evaluation: VOICE/physionet_b2ai-voice_1.1 - CLAUDECODE

Evaluated: 2025-11-17T23:35:15.923964
File: `data/d4d_individual/claudecode/VOICE/physionet_b2ai-voice_1.1_d4d.yaml`

## Overall Scores

- **Rubric10**: 37.0/50 (74.0%)
- **Rubric20**: 51.0/84 (60.7%)

## Rubric10 Element Scores

| ID | Element | Score | Details |
|----|---------|-------|---------|
| 1 | Dataset Discovery and Identification | 2/5 | 2/5 sub-elements present |
| 2 | Dataset Access and Retrieval | 4/5 | 4/5 sub-elements present |
| 3 | Data Reuse and Interoperability | 3/5 | 3/5 sub-elements present |
| 4 | Ethical Use and Privacy Safeguards | 5/5 | 5/5 sub-elements present |
| 5 | Data Composition and Structure | 5/5 | 5/5 sub-elements present |
| 6 | Data Provenance and Version Tracking | 2/5 | 2/5 sub-elements present |
| 7 | Scientific Motivation and Funding Transparency | 3/5 | 3/5 sub-elements present |
| 8 | Technical Transparency (Data Collection and Processing) | 5/5 | 5/5 sub-elements present |
| 9 | Dataset Evaluation and Limitations Disclosure | 5/5 | 5/5 sub-elements present |
| 10 | Cross-Platform and Community Integration | 3/5 | 3/5 sub-elements present |

### Rubric10 Sub-Element Details


#### 1. Dataset Discovery and Identification

Can a user or system discover and uniquely identify this dataset?

- ✅ **Persistent Identifier (DOI, RRID, etc.)**
  - Found: doi: 10.13026/249v-w155
- ❌ **Dataset Title and Description Completeness**
  - Fields checked: title, description
- ❌ **Keywords or Tags for Searchability**
  - Fields checked: keywords
- ❌ **Dataset Landing Page or Platform URL**
  - Fields checked: page, external_resources
- ✅ **Associated Project or Program (e.g., Bridge2AI, AIM-AHEAD)**
  - Found: project: VOICE

#### 2. Dataset Access and Retrieval

Can the dataset and its associated resources be located, accessed, and downloaded?

- ✅ **Access Mechanism Defined (e.g., open, restricted, registered)**
  - Found: access_and_licensing.access_policy: Restricted Access
- ✅ **Data Use Agreement Required?**
  - Found: access_and_licensing.data_use_agreement: Bridge2AI Voice Registered Access Agreement
- ❌ **Download URL or Platform Link Available**
  - Fields checked: distribution_formats, download_url
- ✅ **File Formats Specified**
  - Found: data_characteristics.data_formats: list (non-empty)
- ✅ **External Links to Similar or Related Datasets**
  - Found: project_website: https://docs.b2ai-voice.org

#### 3. Data Reuse and Interoperability

Is sufficient information provided to reuse and integrate the dataset with others?

- ❌ **License Terms Allow Reuse**
  - Fields checked: license_and_use_terms.description
- ✅ **Data Formats Are Standardized (e.g., JSON, TSV, Parquet)**
  - Found: data_characteristics.data_formats: list (non-empty)
- ❌ **Schema or Ontology Conformance Stated**
  - Fields checked: conforms_to
- ✅ **Identifiers Defined for Linking (e.g., participant_id)**
  - Found: data_characteristics.identifiers_in_files: list (non-empty)
- ✅ **Documentation of Processing Tools for Reproducibility**
  - Found: software_and_tools: dict (non-empty)

#### 4. Ethical Use and Privacy Safeguards

Does the dataset provide clear information about consent, privacy, and ethical oversight?

- ✅ **IRB or Ethics Review Documented**
  - Found: ethics.irb_approval: Data collection and sharing approved by the University of South Florida Institutional Review Board.
- ✅ **Deidentification Method Described (e.g., HIPAA Safe Harbor)**
  - Found: deidentification_and_privacy.approach: HIPAA Safe Harbor
- ✅ **Identifiers Removed or Masked**
  - Found: deidentification_and_privacy.examples_of_identifiers_removed: list (non-empty)
- ✅ **Informed Consent Obtained from Participants**
  - Found: collection_process.consent: Participants provided consent for data collection and sharing of de-identified research data.
- ✅ **Ethical Sourcing Statement Included**
  - Found: ethics.ethical_position: Dataset is ethically sourced with privacy protections; derived data released for low risk.

#### 5. Data Composition and Structure

Can the dataset’s structure, modality, and population be understood from metadata?

- ✅ **Cohort or Population Characteristics Described**
  - Found: composition.population: dict (non-empty)
- ✅ **Number of Participants or Samples Reported**
  - Found: composition.population.participants: 306
- ✅ **Modalities or Data Types Listed**
  - Found: data_characteristics.modalities: list (non-empty)
- ✅ **Conditions or Phenotypes Represented**
  - Found: composition.condition_groups: list (non-empty)
- ✅ **File Dimensions or Sampling Rates Provided**
  - Found: data_characteristics.sampling_and_dimensions: Audio resampled to 16 kHz; spectrograms are 513 x N; MFCC arrays are 60 x N, where N is proportional

#### 6. Data Provenance and Version Tracking

Can a user determine dataset versions, update history, and provenance?

- ✅ **Dataset Version Number Provided**
  - Found: dataset_version: 1.1
- ✅ **Version History Documented (release_notes)**
  - Found: release_notes: list (non-empty)
- ❌ **Change Descriptions for Each Version**
  - Fields checked: release_notes.notes
- ❌ **Update Schedule or Frequency Indicated**
  - Fields checked: updates
- ❌ **Versioned Documentation or External References**
  - Fields checked: version_access, external_resources

#### 7. Scientific Motivation and Funding Transparency

Does the metadata clearly state why the dataset exists and who funded it?

- ✅ **Motivation or Rationale for Dataset Creation**
  - Found: motivation: Enable ethically sourced, large-scale research on voice as a biomarker of health by linking derived 
- ✅ **Primary Research Objective or Task**
  - Found: intended_uses.primary: Artificial intelligence and clinical research on voice as a biomarker of health.
- ❌ **Funding Source or Grant Agency Listed**
  - Fields checked: funding_and_acknowledgements.funding.agency
- ❌ **Award Number or Grant ID Present**
  - Fields checked: funding_and_acknowledgements.funding.award_number
- ✅ **Acknowledgement of Platform or Participant Support**
  - Found: funding_and_acknowledgements.acknowledgements: We acknowledge the contribution of study participants and the NIH for continued support of the proje

#### 8. Technical Transparency (Data Collection and Processing)

Can data collection and processing steps be replicated or understood?

- ✅ **Collection Setting or Sites Described**
  - Found: collection_process.setting: Specialty clinics and institutions
- ✅ **Data Capture Method or Device Listed**
  - Found: collection_process.data_capture: Custom tablet application used for collection; headset used when possible.
- ✅ **Preprocessing or Cleaning Steps Documented**
  - Found: preprocessing_and_derived_data.raw_audio_processing: Converted to mono and resampled to 16 kHz with a Butterworth anti-aliasing filter.
- ✅ **Open-Source Processing Code Provided**
  - Found: software_and_tools.preprocessing_code: dict (non-empty)
- ✅ **External Standards or References Cited**
  - Found: references: list (non-empty)

#### 9. Dataset Evaluation and Limitations Disclosure

Does the metadata communicate known risks, biases, or dataset limitations?

- ✅ **Limitations Section Present**
  - Found: limitations: list (non-empty)
- ✅ **Sampling Bias or Representativeness Noted**
  - Found: composition.population: dict (non-empty)
- ✅ **Quality Control or Validation Steps Mentioned**
  - Found: preprocessing_and_derived_data: dict (non-empty)
- ✅ **Known Risks or Use Constraints Listed**
  - Found: intended_uses.usage_notes: Data are provided as derived representations without raw audio to reduce re-identification risk.
- ✅ **Conflicts of Interest Declared**
  - Found: ethics.conflicts_of_interest: None to declare.

#### 10. Cross-Platform and Community Integration

Does the dataset connect to wider data ecosystems, repositories, or standards?

- ✅ **Dataset Published on a Recognized Platform (e.g., PhysioNet, Dataverse, FAIRhub)**
  - Found: publisher: PhysioNet
- ✅ **Cross-referenced DOIs or Related Dataset Links**
  - Found: references: list (non-empty)
- ❌ **Community Standards or Schema Reference**
  - Fields checked: conforms_to
- ❌ **Associated Outreach Materials (e.g., webinar, documentation)**
  - Fields checked: external_resources, distribution_formats
- ✅ **Similar Dataset Links or Thematic Grouping**
  - Found: project: VOICE

## Rubric20 Question Scores


### Structural Completeness

| ID | Question | Score | Status |
|----|----------|-------|--------|
| 1 | Field Completeness | 0.0/5 | ❌ |
| 2 | Entry Length Adequacy | 4.0/5 | ✅ |
| 3 | Keyword Diversity | 0.0/5 | ❌ |
| 4 | File Enumeration and Type Variety | 4.0/5 | ✅ |
| 5 | Data File Size Availability | Pass | ✅ |

### Metadata Quality & Content

| ID | Question | Score | Status |
|----|----------|-------|--------|
| 6 | Dataset Identification Metadata | Pass | ✅ |
| 7 | Funding and Acknowledgements Completeness | 4.0/5 | ✅ |
| 8 | Ethical and Privacy Declarations | 4.0/5 | ✅ |
| 9 | Access Requirements Documentation | 4.0/5 | ✅ |
| 10 | Interoperability and Standardization | 4.0/5 | ✅ |

### Technical Documentation

| ID | Question | Score | Status |
|----|----------|-------|--------|
| 11 | Tool and Software Transparency | 4.0/5 | ✅ |
| 12 | Collection Protocol Clarity | 4.0/5 | ✅ |
| 13 | Version History Documentation | 4.0/5 | ✅ |
| 14 | Associated Publications | 4.0/5 | ✅ |
| 15 | Human Subject Representation | 4.0/5 | ✅ |

### FAIRness & Accessibility

| ID | Question | Score | Status |
|----|----------|-------|--------|
| 16 | Findability (Persistent Links) | Fail | ❌ |
| 17 | Accessibility (Access Mechanism) | 4.0/5 | ✅ |
| 18 | Reusability (License Clarity) | 0.0/5 | ❌ |
| 19 | Data Integrity and Provenance | 0.0/5 | ❌ |
| 20 | Interlinking Across Platforms | Pass | ✅ |