# Rubric10-Semantic Evaluation Report

Dataset
Unknown
Generation Method
Unknown
Evaluator
Unknown
Rubric Type
Unknown
Temperature
N/A
Evaluation Date
Unknown
0/50
0.0% Overall Score

## Element Scores

Element None: None
0/5 (0%)
Persistent Identifier (DOI, RRID, or URI) 1/1
Fields:
Rationale: id: https://doi.org/10.13026/37yb-1t42 (line 7)
Dataset Title and Description Completeness 1/1
Fields:
Rationale: title: Bridge2AI-Voice - An ethically-sourced, diverse voice dataset linked to health information (line 9); description: comprehensive 17-line description (lines 10-26)
Keywords or Tags for Searchability 1/1
Fields:
Rationale: keywords: 45 keyword entries covering voice biomarker, disorders, methods, standards (lines 29-72)
Landing Page and Resources (page, hierarchical resources) 1/1
Fields:
Rationale: page: https://docs.b2ai-voice.org (line 27); external_resources: 11 resource entries (lines 708-765)
Hierarchical Structure (parent datasets, relationships) 1/1
Fields:
Rationale: External resources section implicitly documents hierarchical relationships through platform linkages (PhysioNet, Health Data Nexus, Zenodo)
Element None: None
0/5 (0%)
Access Policy and IP Restrictions Defined 1/1
Fields:
Rationale: license_and_use_terms: comprehensive section with license terms list (lines 508-531)
Regulatory Restrictions and Confidentiality Level Specified 1/1
Fields:
Rationale: Certificate of Confidentiality protections documented (lines 528, 696-705); HIPAA Safe Harbor de-identification (lines 418-430)
Download URL or Platform Link Available 1/1
Fields:
Rationale: access_urls in distribution_formats: https://physionet.org/content/b2ai-voice/ (lines 541, 549, 557, 565)
Distribution Formats and File Types Specified 1/1
Fields:
Rationale: distribution_formats: 5 format entries covering Parquet (spectrograms, MFCCs), TSV (phenotype, static features), and raw audio (lines 533-573)
Related Datasets and External Resources Linked 1/1
Fields:
Rationale: external_resources: 11 entries covering PhysioNet, GitHub, NIH RePORTER, Health Data Nexus, Zenodo, publications, DACO contact (lines 708-765)
Element None: None
0/5 (0%)
License Terms Allow Reuse 1/1
Fields:
Rationale: license_and_use_terms with explicit reuse provisions: public disclosure encouraged, recognition required, open-access publication preferred (lines 526-527)
Data Formats Are Standardized (encoding, format) 1/1
Fields:
Rationale: Standardized formats: Parquet for arrays (spectrograms, MFCCs), TSV for tabular data, JSON for dictionaries (lines 533-573)
Schema or Ontology Conformance Stated 1/1
Fields:
Rationale: Schema conformance documented in header: Schema: src/data_sheets_schema/schema/data_sheets_schema_all.yaml (line 4); FAIR principles mentioned in keywords (line 70)
Variable Metadata with Identifiers Defined 1/1
Fields:
Rationale: Data dictionaries provided: phenotype.json for demographics/questionnaires, static_features.json for acoustic features (lines 555, 563)
Use Guidance Provided (intended, prohibited uses) 1/1
Fields:
Rationale: intended_uses: 5 use cases (lines 454-480); discouraged_uses: 4 discouraged use cases (lines 482-504)
Element None: None
0/5 (0%)
IRB or Ethics Review Documented 1/1
Fields:
Rationale: human_subject_research: comprehensive section documenting USF IRB approval, informed consent, bioethics guidance (lines 641-658)
Deidentification Method Described 1/1
Fields:
Rationale: HIPAA Safe Harbor de-identification comprehensively documented with 18 identifier categories removed (lines 418-430)
Privacy Protections Beyond Deidentification 1/1
Fields:
Rationale: Certificate of Confidentiality (lines 696-705); raw audio controlled access (lines 239-245, 664-671); free speech transcript removal (lines 399-405)
Informed Consent Obtained from Participants 1/1
Fields:
Rationale: Written informed consent documented for data collection initiative, data sharing, EHR access, and research data sharing (lines 645-648)
Vulnerable Populations and Compensation Documented 1/1
Fields:
Rationale: Pediatric cohort with special ethical considerations documented (lines 296-301); additional privacy precautions for pediatric data noted (line 608)
Element None: None
0/5 (0%)
Cohort or Subpopulations Characteristics Described 1/1
Fields:
Rationale: subpopulations: 5 cohorts detailed (Voice Disorders, Neurological, Mood/Psychiatric, Respiratory, Pediatric) with clinical characteristics (lines 270-301)
Number of Instances or Samples Reported 1/1
Fields:
Rationale: instances: 306 participants, 12,523 recordings documented (lines 214-225)
Variable-Level Metadata and Tabular Flag 1/1
Fields:
Rationale: JSON data dictionaries for phenotype and static features (lines 555, 563); tabular data explicitly documented as TSV format
Data Topics or Conditions Represented 1/1
Fields:
Rationale: Five disease cohort categories detailed in instances and subpopulations sections (lines 220-225, 270-301)
Data Quality Issues and Anomalies Documented 1/1
Fields:
Rationale: sampling_strategies: detailed sampling methodology with non-random, non-representative sampling explicitly stated (lines 247-268)
Element None: None
0/5 (0%)
Dataset Version Number Provided 1/1
Fields:
Rationale: Version progression documented: v1.0, v1.1, v2.0.0, v2.0.1 with dates (lines 603-615)
Version Access Methods Documented 1/1
Fields:
Rationale: Version-specific documentation and DOI system mentioned (lines 606, 619); PhysioNet platform provides versioned access
Change Descriptions and Errata Provided 1/1
Fields:
Rationale: updates: detailed version history with specific changes (v1.1 added MFCCs, v2.0.0 expanded cohort, etc.) lines 599-619
Update Schedule or Frequency Indicated 1/1
Fields:
Rationale: frequency: Periodic versioned releases during data collection period (2022-2026) (line 609); future releases planned (lines 616-617)
Provenance and Source Derivation Documented 1/1
Fields:
Rationale: Generation provenance in header: Source: data/preprocessed/concatenated/VOICE_preprocessed.txt (89K, 9 source files) (line 3); preprocessing strategies document feature derivation (lines 345-415)
Element None: None
0/5 (0%)
Motivation or Purpose for Dataset Creation 1/1
Fields:
Rationale: purposes: 3 comprehensive purpose statements covering clinical integration, flagship dataset creation, and standards development (lines 76-93)
Primary Research Objectives or Tasks 1/1
Fields:
Rationale: tasks: 6 task entries covering AI/ML development for voice disorders, neurological, mood, respiratory, pediatric disorders, and workforce development (lines 95-128)
Funding Sources and Mechanisms Listed 1/1
Fields:
Rationale: funders: 2 entries - NIH Office of the Director and NIBIB with detailed grant information (lines 195-210)
Grant IDs or Award Numbers Present 1/1
Fields:
Rationale: Grant numbers: 3OT2OD032720-01S3 (NIH OD), R01EB030362 (NIBIB) with opportunity number OTA-21-008 (lines 199, 208)
Creators and Acknowledgements Documented 1/1
Fields:
Rationale: creators: 13 entries including contact PI, co-PIs, co-investigators, and consortium (lines 154-193)
Element None: None
0/5 (0%)
Collection Mechanisms and Settings Described 1/1
Fields:
Rationale: collection_mechanisms: 3 detailed entries covering smartphone app protocol, multi-institutional collection, and comprehensive data collection protocol (lines 304-323)
Data Acquisition Methods Listed 1/1
Fields:
Rationale: acquisition_methods: 3 entries covering voice recordings, questionnaires, and EHR access (lines 325-342)
Preprocessing, Cleaning, and Labeling Strategies 1/1
Fields:
Rationale: preprocessing_strategies: 7 entries with detailed technical specifications (lines 345-415); cleaning_strategies: 3 entries (lines 417-451)
Software and Tools Documented 1/1
Fields:
Rationale: Software tools documented throughout preprocessing: OpenSMILE, Praat, Parselmouth, Whisper, b2aiprep library, REDCap (lines 378-415)
External Standards and Resources Referenced 1/1
Fields:
Rationale: external_resources: 11 entries including standards publications, platforms, repositories (lines 708-765); FAIR principles in keywords (line 70)
Element None: None
0/5 (0%)
Known Limitations Documented 1/1
Fields:
Rationale: Limitations implicitly documented: non-representative sampling (line 263), pediatric data not yet released (line 301), multi-session requirements for subset of participants (lines 308-310)
Systematic Biases Identified and Described 0/1
Fields:
Rationale: No explicit known_biases field present
Data Anomalies and Quality Issues Noted 0/1
Fields:
Rationale: No explicit anomalies field present
Sensitive Content and Warnings Provided 1/1
Fields:
Rationale: sensitive_elements: 4 comprehensive entries covering voice biometrics, EHR data, demographic data, and Certificate of Confidentiality (lines 660-705)
Ethical Review Details Including Conflicts 1/1
Fields:
Rationale: human_subject_research includes IRB approval and ethics review board identification (lines 655-658); bioethics guidance integration documented (lines 649-653)
Element None: None
0/5 (0%)
Dataset Published on a Recognized Platform 1/1
Fields:
Rationale: PhysioNet distribution documented throughout (lines 207-210, 533-573, 592-596, 710-713); Health Data Nexus alternative platform (lines 730-733)
Citation and DOI for Cross-referencing 1/1
Fields:
Rationale: DOI: https://doi.org/10.13026/37yb-1t42 (line 7); recognition of data source required in publications (line 527)
Community Standards or Schema Conformance 1/1
Fields:
Rationale: FAIR principles (line 70), CARE principles (line 71), D4D schema conformance (line 4), PhysioNet requirements (line 518)
Outreach Materials and Documentation Links 1/1
Fields:
Rationale: page: https://docs.b2ai-voice.org (line 27); external_resources: comprehensive documentation including GitHub, publications, NIH RePORTER (lines 708-765)
Related Datasets with Typed Relationships 0/1
Fields:
Rationale: No explicit related_datasets field with typed relationships present

## Semantic Analysis

### Strengths

- Exceptional completeness across all discovery, access, and retrieval dimensions (100% for elements 1-2)
- Outstanding ethical documentation including IRB approval, informed consent, deidentification, and privacy protections beyond standard requirements
- Comprehensive technical transparency with detailed preprocessing strategies documenting 7 processing steps with technical parameters
- Excellent funding and motivation transparency with complete grant information, creator attribution, and scientific objectives
- Strong data composition documentation with 5 subpopulations, instance counts, and sampling methodology
- Robust version tracking with 4 documented releases and clear update schedule through 2026
- Extensive external resources section with 11 documented links to platforms, documentation, and publications
- Well-documented use guidance with 5 intended uses and 4 discouraged uses covering ethical considerations
- Comprehensive license terms with 12 specific provisions for registered access and data use

### Weaknesses

- No explicit known_biases field to document systematic biases, though non-representative sampling is acknowledged
- No explicit anomalies field to document data quality issues or outliers
- No explicit related_datasets field with typed relationships to other datasets in the Bridge2AI program or broader ecosystem
- While limitations are documented throughout, they are not consolidated in a dedicated known_limitations field for easy reference

## Recommendations

Add explicit known_biases section to document potential biases from non-representative sampling, specialty clinic recruitment, and cohort selection
Create anomalies section to document any data quality issues encountered during collection or processing
Add related_datasets field with typed relationships to other Bridge2AI datasets (AI-READI, CHORUS, CM4AI) and complementary voice datasets
Consolidate limitations into dedicated known_limitations field while retaining context-specific documentation
Consider adding explicit publisher field naming PhysioNet/MIT as primary publisher organization
Generated on 2025-12-20 19:23:41 using Bridge2AI Data Sheets Schema