# docs aireadi org docs-2 d4d

Datasheet for Dataset - Human Readable Format

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## Motivation

Why was the dataset created?

Purposes

- Response
    To better understand salutogenesis (the pathway from disease to health) in T2DM

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## Composition

What do the instances represent?

Instances

1. Representation
     Healthcare data across multiple domains
   Data Type
     Survey data, physical measurements, clinical data, imaging data, wearable device data, blood and urine lab results, fitness activity levels, clinical measurements, retinal images, ECG, blood sugar levels, environmental variables
   Instance Type
     Multiple data types per participant
   Sampling Strategies
     Strategies
       - Recruitment sampling procedures aimed at achieving approximately equal distribution of participants across diabetes severity
     Is Representative
       Distribution may not be balanced across groups in pilot/early releases as enrollment is ongoing

Distribution Formats

Description
  - Split into public and controlled access components
  - Public dataset includes non-sensitive clinical and environmental data

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## Collection Process

How was the data acquired?

ID *
ai-readi-flagship-t2dm-dataset
Name
AI-READI Dataset
Title
Flagship Dataset of Type 2 Diabetes from the AI-READI Project
Description
A dataset consisting of data collected from individuals with and without Type 2 Diabetes Mellitus (T2DM) and harmonized across 3 data collection sites. The dataset was designed with AI/Machine Learning applications in mind, including balanced recruitment sampling procedures and multi-domain data acquisition protocols.
Confidential Elements

Description
  - Some data considered sensitive personal health data requires controlled access via data use agreement

Sensitive Elements

Description
  - 5-digit zip code
  - sex
  - race
  - ethnicity
  - genetic sequencing data
  - past health records
  - medications
  - traffic and accident reports

Errata

Description
  - Documentation maintained alongside dataset versions
  - Version tracking available through documentation versioning

Is Deidentified

Description
  Sensitive personal health information requires controlled access

Collection Mechanisms

Description
  - Data collected across 3 data collection sites
  - Multi-domain data acquisition protocol

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## Uses

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

Tasks

- Response
    AI/ML analyses across multiple health data domains

License And Use Terms

Description
  - Public data available upon agreement with usage license
  - Full dataset accessible through data use agreement

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## Distribution

How will the dataset be distributed?

Version Access

Description
  - Multiple versions available with associated documentation
  - Version navigation provided through documentation interface

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## Maintenance

How will the dataset be maintained?

Version
2.0.0
Generated on 2025-11-09 10:17:35 using Bridge2AI Data Sheets Schema