# Rubric10-Semantic Evaluation Report

Dataset
Unknown
Generation Method
Unknown
Evaluator
claude-sonnet-4-5-20250929
Rubric Type
rubric10_semantic
Temperature
0.0
Evaluation Date
2025-12-20T00:30:00Z
0/50
0.0% Overall Score

## Element Scores

Element 1: Dataset Discovery and Identification
4/5 (0%)
Persistent Identifier (DOI, RRID, or URI) 1/1
Fields:
Rationale: id present (https://fairhub.io/datasets/2). DOI absent - should be 10.5281/zenodo.10642459 based on external_resources. RRID absent.
Dataset Title and Description Completeness 1/1
Fields:
Rationale: Both title and description present and comprehensive. Description includes study design, participant count, sites, data domains, and scientific rationale.
Keywords or Tags for Searchability 1/1
Fields:
Rationale: 17 keywords provided covering disease (T2DM), methodology (AI/ML, multimodal), study design (triple-balanced, cross-sectional), and data types (retinal imaging, wearables, biospecimens).
Landing Page and Resources (page, hierarchical resources) 1/1
Fields:
Rationale: Page field present (https://fairhub.io/datasets/2). Resources field absent but external_resources provides extensive documentation links.
Hierarchical Structure (parent datasets, relationships) 0/1
Fields:
Rationale: Neither parent_datasets nor related_datasets fields present. This is a standalone dataset but could reference Bridge2AI program datasets.
Element 2: Dataset Access and Retrieval
4/5 (0%)
Access Policy and IP Restrictions Defined 1/1
Fields:
Rationale: license_and_use_terms present and comprehensive with CC BY-NC 4.0 license details. ip_restrictions field absent but not critical for this public dataset.
Regulatory Restrictions and Confidentiality Level Specified 0/1
Fields:
Rationale: Neither regulatory_restrictions nor confidentiality_level present despite having controlled access data with genetic sequencing and PHI.
Download URL or Platform Link Available 1/1
Fields:
Rationale: download_url field absent but access_urls provided in distribution_formats (all pointing to https://fairhub.io/datasets/2).
Distribution Formats and File Types Specified 1/1
Fields:
Rationale: distribution_formats comprehensively documented with 4 formats: DICOM (imaging), CSV (tabular/time-series), mHealth (wearables), REDCap (metadata). Top-level format/media_type absent.
Related Datasets and External Resources Linked 1/1
Fields:
Rationale: external_resources extensively documented with 9 resources including project website, documentation, FAIRhub, Bridge2AI, NIH RePORTER, Zenodo, and publications. related_datasets absent.
Element 3: Data Reuse and Interoperability
3/5 (0%)
License Terms Allow Reuse 1/1
Fields:
Rationale: CC BY-NC 4.0 license clearly allows reuse with attribution for non-commercial purposes. Controlled access terms mentioned but not detailed.
Data Formats Are Standardized (encoding, format) 0/1
Fields:
Rationale: Top-level format and encoding fields absent. Formats documented in distribution_formats but not at dataset level.
Schema or Ontology Conformance Stated 0/1
Fields:
Rationale: Neither conforms_to nor conforms_to_schema present despite documentation referencing OMOP CDM, DICOM, mHealth standards.
Variable Metadata with Identifiers Defined 0/1
Fields:
Rationale: variables field completely absent despite extensive multi-domain data collection documented in acquisition_methods.
Use Guidance Provided (intended, prohibited uses) 1/1
Fields:
Rationale: intended_uses (5 items) and discouraged_uses (3 items) present. prohibited_uses absent.
0/1
Fields:
Rationale: N/A
Element 4: Ethical Use and Privacy Safeguards
4/5 (0%)
IRB or Ethics Review Documented 1/1
Fields:
Rationale: human_subject_research extensively documented with IRB approvals from University of Washington (STUDY00016228) and reliance agreements from UAB and UCSD. ethical_reviews field absent but covered in human_subject_research.
Deidentification Method Described 0/1
Fields:
Rationale: is_deidentified field completely absent despite clear documentation of de-identification practices in subset descriptions.
Privacy Protections Beyond Deidentification 0/1
Fields:
Rationale: participant_privacy field absent. Privacy mentioned in sensitive_elements but no structured privacy protections documented.
Informed Consent Obtained from Participants 1/1
Fields:
Rationale: informed_consent mentioned in human_subject_research (written informed consent provided by all participants) but no separate informed_consent structured field.
Vulnerable Populations and Compensation Documented 1/1
Fields:
Rationale: vulnerable_populations mentioned in human_subject_research (special_populations includes racial/ethnic minorities, tribal consultation). participant_compensation field absent.
0/1
Fields:
Rationale: N/A
Element 5: Data Composition and Structure
4/5 (0%)
Cohort or Subpopulations Characteristics Described 1/1
Fields:
Rationale: subpopulations comprehensively documented with 8 subpopulations: 4 race/ethnicity groups (Asian, Black, Hispanic, White) and 4 diabetes severity levels. Target distributions specified (25% each, ~1,000 participants).
Number of Instances or Samples Reported 1/1
Fields:
Rationale: instances documented with target 4,000 participants, inclusion/exclusion criteria, age requirement (40+), and instance_type specifying human participants from three sites.
Variable-Level Metadata and Tabular Flag 0/1
Fields:
Rationale: Both variables and is_tabular fields absent. Multiple tabular data sources documented (surveys, labs, wearables) but no variable metadata or tabular flag.
Data Topics or Conditions Represented 1/1
Fields:
Rationale: Data topics clear from instances (T2DM participants) and throughout metadata. Medical condition (Type 2 Diabetes Mellitus) and research focus (salutogenesis) well-documented.
Data Quality Issues and Anomalies Documented 1/1
Fields:
Rationale: sampling_strategies extensively documented (triple-balanced recruitment with detailed methodology). anomalies field absent but quality control documented in preprocessing.
Element 6: Data Provenance and Version Tracking
3/5 (0%)
Dataset Version Number Provided 0/1
Fields:
Rationale: version field absent despite updates documenting specific versions (pilot, v1.0.0, v2.0.0, v3.0.0).
Version Access Methods Documented 0/1
Fields:
Rationale: version_access field absent. No documentation of how to access previous versions or version-specific downloads.
Change Descriptions and Errata Provided 1/1
Fields:
Rationale: updates field comprehensive with release timeline (pilot May 2024, v1.0.0 Nov 2024, ongoing through Nov 2026). errata field absent.
Update Schedule or Frequency Indicated 1/1
Fields:
Rationale: Update frequency documented: periodic releases during enrollment (through Nov 2026), final release late 2026. Specific release dates provided for pilot and v1.0.0.
Provenance and Source Derivation Documented 1/1
Fields:
Rationale: was_derived_from and release_notes fields absent but provenance documented through collection_mechanisms, acquisition_methods, and preprocessing_strategies.
Element 7: Scientific Motivation and Funding Transparency
5/5 (0%)
Motivation or Purpose for Dataset Creation 1/1
Fields:
Rationale: purposes comprehensively documented with 3 items: T2DM salutogenesis understanding, AI/ML standards establishment, addressing demographic inequities. Each with detailed descriptions.
Primary Research Objectives or Tasks 1/1
Fields:
Rationale: tasks well-documented with 3 items: multi-domain AI/ML analyses, unbiased model development, disease trajectory studies. Clear alignment with purposes.
Funding Sources and Mechanisms Listed 1/1
Fields:
Rationale: funders documented with NIH Common Fund Bridge2AI Program, primary grant OT2OD032644, additional grants (P30DK035816, UL1TR003096), Research to Prevent Blindness.
Grant IDs or Award Numbers Present 1/1
Fields:
Rationale: Grant numbers present: OT2OD032644 (primary), P30DK035816, UL1TR003096. Funding amount ($5,026,499 in 2022), opportunity number (OTA-21-008), and project dates (Sept 1, 2022 - Aug 31, 2025) documented.
Creators and Acknowledgements Documented 1/1
Fields:
Rationale: creators extensively documented with 20 investigators including Contact PI/Project Leader (Aaron Lee), PIs, Co-Investigators with institutional affiliations and roles. Funders also documented.
Element 8: Technical Transparency (Data Collection and Processing)
5/5 (0%)
Collection Mechanisms and Settings Described 1/1
Fields:
Rationale: collection_mechanisms comprehensively documented with 5 mechanisms: in-person visits (2.5-4 hours, 3 sites), EHR screening (ICD-10 codes), wave-based recruitment, home wearable monitoring (10 days), biospecimen collection/banking.
Data Acquisition Methods Listed 1/1
Fields:
Rationale: acquisition_methods extensively documented with 12 methods covering all data domains: surveys (REDCap), physical measurements, retinal imaging (7 devices), visual function, clinical labs (local and central), ECG, cognitive testing (MoCA), neuropathy (monofilament), continuous glucose (Dexcom G6), activity (Garmin), environmental sensors, biospecimens.
Preprocessing, Cleaning, and Labeling Strategies 1/1
Fields:
Rationale: preprocessing_strategies (5 items) and cleaning_strategies (1 item) comprehensively documented. labeling_strategies absent but not applicable for this observational dataset.
Software and Tools Documented 0/1
Fields:
Rationale: software_and_tools field absent despite extensive software/equipment use documented in acquisition_methods (REDCap, DICOM tools, various imaging devices, Dexcom, Garmin, MoCA Duo).
External Standards and Resources Referenced 1/1
Fields:
Rationale: external_resources extensively documented (9 resources). conforms_to absent but standards mentioned in preprocessing (OMOP CDM, DICOM, mHealth, RxNorm, ICD-10).
Element 9: Dataset Evaluation and Limitations Disclosure
3/5 (0%)
Known Limitations Documented 0/1
Fields:
Rationale: known_limitations field absent. Limitations implied in discouraged_uses (ongoing enrollment, need for clinical validation) but not formally documented.
Systematic Biases Identified and Described 0/1
Fields:
Rationale: known_biases field absent. No documentation of potential biases despite targeted recruitment and exclusion criteria.
Data Anomalies and Quality Issues Noted 0/1
Fields:
Rationale: anomalies field absent. Quality control documented but no specific anomalies, data quality issues, or missing data patterns described.
Sensitive Content and Warnings Provided 1/1
Fields:
Rationale: sensitive_elements comprehensively documented with 3 items: genetic/biospecimen data, geographic/demographic identifiers, medical history/records. content_warnings absent.
Ethical Review Details Including Conflicts 1/1
Fields:
Rationale: ethical_reviews absent as structured field but extensively covered in human_subject_research (IRB approvals, community advisory board, bioethics guidance). No conflicts of interest documented.
Element 10: Cross-Platform and Community Integration
2/5 (0%)
Dataset Published on a Recognized Platform 0/1
Fields:
Rationale: publisher field absent. Dataset hosted on FAIRhub and Zenodo but no formal publisher designation.
Citation and DOI for Cross-referencing 0/1
Fields:
Rationale: Both citation and doi fields absent. DOI exists (10.5281/zenodo.10642459) but only in external_resources, not as top-level field.
Community Standards or Schema Conformance 0/1
Fields:
Rationale: conforms_to field absent despite extensive standards use (OMOP CDM, DICOM, mHealth, FAIR principles).
Outreach Materials and Documentation Links 1/1
Fields:
Rationale: external_resources extensively documented (9 resources) including project website, documentation, publications, data sharing policies. page field present.
Related Datasets with Typed Relationships 0/1
Fields:
Rationale: related_datasets field absent. No typed relationships to other Bridge2AI datasets, prior T2DM studies, or derived datasets.

## Semantic Analysis

Generated on 2025-12-20 19:23:41 using Bridge2AI Data Sheets Schema