# Flagship Dataset of Type 2 Diabetes from the AI-READI Project

Datasheet for Dataset - Human Readable Format

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## Motivation

Why was the dataset created?

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Funders

Grantor | Grant Name | Grant Number
--- | --- | ---
National Institutes of Health | - | 1OT2OD032644

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Purposes

- Response
    The Artificial Intelligence Ready and Exploratory Atlas for Diabetes Insights (AI-READI) project seeks to create a flagship ethically-sourced dataset to enable future generations of artificial intelligence/machine learning (AI/ML) research to provide critical insights into type 2 diabetes mellitus (T2DM), including salutogenic pathways to return to health.

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## Composition

What do the instances represent?

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Instances

1. Counts
     1,067
   Instance Type
     participants
   Data Topic
   Data Substrate
   Label
   Label Description
   Sampling Strategies
   Missing Information

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Subpopulations

- Subpopulation Elements Present
    True
  Identification
    - Race/ethnicity
    - Sex
    - Diabetes status
  Distribution

    Split Type | Race/Ethnicity | Sex | Diabetes Status
    --- | --- | --- | ---
    Train Split | Hispanic: 144, Asian: 167, Black: 211, White: 225 | Male: 302, Female: 445 | No DM: 292, Lifestyle: 162, Oral: 235, Insulin: 58
    Val Split | Hispanic: 40, Asian: 40, Black: 40, White: 40 | Male: 80, Female: 80 | No DM: 47, Lifestyle: 33, Oral: 40, Insulin: 40
    Test Split | Hispanic: 40, Asian: 40, Black: 40, White: 40 | Male: 80, Female: 80 | No DM: 41, Lifestyle: 39, Oral: 36, Insulin: 42
    Total | Hispanic: 224, Asian: 247, Black: 291, White: 305 | Male: 462, Female: 605 | No DM: 380, Lifestyle: 234, Oral: 311, Insulin: 140

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Distribution Formats

- Description
    The dataset is organized into multiple directories by datatype, with file formats including WaveForm DataBase (WFDB), CSV (conforming to OMOP CDM), Earth Science Data Systems (ESDS), Digital Imaging and Communications in Medicine (DICOM), and Open mHealth.

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Distribution Dates
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## Collection Process

How was the data acquired?

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ID
doi:10.60775/fairhub.2
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Title
Flagship Dataset of Type 2 Diabetes from the AI-READI Project
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Description
This dataset contains data from 1067 participants that was collected between July 19, 2023 and July 31, 2024. Data from multiple modalities are included. The data in this dataset contain no protected health information (PHI). Information related to the sex and race/ethnicity of the participants as well as medication used has also been removed.
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Creators

Role | Name | ORCID | Affiliation
--- | --- | --- | ---
Principal Investigator |  | - | AI-READI Consortium

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Issued
2024-11-08
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Keywords

- Diabetes mellitus
- Machine Learning
- Artificial Intelligence
- Electrocardiography
- Continuous Glucose Monitoring
- Retinal imaging
- Eye exam

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Collection Timeframes

- Description
    The data was collected between July 19, 2023 and July 31, 2024.

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Conforms To

- Clinical Dataset Structure (CDS) v0.1.1
- WaveForm DataBase (WFDB)
- Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM)
- Earth Science Data Systems (ESDS)
- Digital Imaging and Communications in Medicine (DICOM)
- Open mHealth

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Preprocessing Strategies

- Description
    Processing of the data was automated + custom.

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Cleaning Strategies

- Description
    The data in this dataset contain no protected health information (PHI). Information related to the sex and race/ethnicity of the participants as well as medication used has also been removed.

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Deidentification

Identifiable Elements Present
  False
Description
  - The data in this dataset contain no protected health information (PHI). Information related to the sex and race/ethnicity of the participants as well as medication used has also been removed.

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Sensitive Elements

- Sensitive Elements Present
    True
  Description
    - The dataset contains health data related to Type 2 Diabetes. It originally contained race/ethnicity and sex data which has been removed from the dataset but is available in aggregate form.

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Acquisition Methods

1. Description
     Data was collected from multiple modalities, including 12-lead ECG, Holter monitor, smartwatch, REDCap for clinical data, a custom environmental sensor, fluorescence lifetime imaging ophthalmoscopy (FLIO), optical coherence tomography (OCT), optical coherence tomography angiography (OCTA), retinal photography, wearable fitness trackers, and continuous glucose monitoring (CGM) devices.
   Was Directly Observed
   Was Reported By Subjects
   Was Inferred Derived
   Was Validated Verified

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Compression
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Class Conformance
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Schema Conformance
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Created By
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Publisher
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Derived From
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Hash
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Md5
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Path
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Sha256
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Research Gaps Addressed
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Subsets
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Anomalies
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External Resources
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Confidential Elements
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Content Warnings
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Collection Mechanisms
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Sampling Strategies
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Data Collectors
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Ethical Reviews
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Data Protection Impact Assessments
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Labeling Strategies
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Raw Sources
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Intellectual Property Restrictions
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Regulatory Restrictions
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Maintainers
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Errata
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Retention Limit
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Extension Mechanism
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Tabular Data
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## Uses

What (other) tasks could the dataset be used for?

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Existing Uses

- Description
    As of the document date, the dataset has 12,603 views, has been cited by 3 resources, and has had 539 approved access requests.

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Discouraged Uses

- Description
    Users must agree to use the data only for type 2 diabetes related research. Other uses are implicitly discouraged.

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License and Use Terms

- Description
    This work is licensed under a custom license. Accessing the dataset requires logging in through a verified ID system, agreeing to use the data only for type 2 diabetes related research, and agreeing to the license terms which set restrictions and obligations for data usage.

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Tasks
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Use Repository
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Other Tasks
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Future Use Impacts
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## Distribution

How will the dataset be distributed?

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License
https://doi.org/10.5281/zenodo.10642459
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DOI
10.60775/fairhub.2
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Download URL
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Bytes
2,210,033,333,333
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Version Access

- Description
    Older versions of the dataset are accessible and have their own DOIs. Version 1.0.0 is available at doi:10.60775/fairhub.1.

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## Maintenance

How will the dataset be maintained?

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Version
2.0.0
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Updates

- Description
    The dataset is versioned. Changes between versions are provided in a CHANGELOG file. The current version is 2.0.0, and a previous version 1.0.0 exists.

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Last Updated
Generated on 2026-04-21 15:34:11 using Bridge2AI Data Sheets Schema