# docs aireadi org docs-2 d4d

Datasheet for Dataset - Human Readable Format

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## Collection Process

How was the data acquired?

ID *
ai-readi-flagship-t2dm
Name
AI-READI Dataset
Title
AI-READI Flagship Dataset of Type 2 Diabetes
Description
The AI-READI Flagship Dataset of Type 2 Diabetes is a multimodal research dataset consisting of data collected from individuals with and without Type 2 Diabetes Mellitus (T2DM), harmonized across three data collection sites. The dataset was designed with future AI/Machine Learning studies in mind, including recruitment aimed at achieving approximately equal distribution across diabetes severity and a standardized acquisition protocol spanning multiple domains (survey data, physical measurements, clinical data, imaging data, wearable device data, etc.). The project goal is to better understand salutogenesis (the pathway from disease to health) in T2DM. Public, non-sensitive data are available for download upon agreement with a license, while the full dataset is available under a data use agreement (DUA). Early releases (pilot phase) and periodic updates may not achieve balanced distributions across groups due to ongoing enrollment.
Language
en
Keywords

- AI-READI
- Type 2 Diabetes Mellitus
- T2DM
- multimodal dataset
- survey data
- clinical data
- physical measurements
- retinal images
- ECG
- wearable device data
- environmental data
- harmonized
- multi-site
- FAIR

Modified By
Erik Benton
Resources

Role | Name | ORCID | Affiliation
--- | --- | --- | ---
Contributor | AI-READI Flagship Dataset of Type 2 Diabetes v2.0.0 | ai-readi-flagship-t2dm-v2-0-0 | -

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## Maintenance

How will the dataset be maintained?

Last Updated On
2025-10-21
Generated on 2025-11-09 10:17:35 using Bridge2AI Data Sheets Schema