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Artificial Intelligence Ready and Equitable Atlas for Diabetes Insights

Generating a flagship AI-ready and ethically-sourced dataset to boost future AI-driven discoveries in type 2 diabetes mellitus (T2DM)

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Logo of the AI-READI


AI-READI is one of the data generation projects funded by the National Institutes of Health (NIH)'s Bridge2AI Program. The AI-READI project is structured into six modules: Data Acquisition, Ethics, Standards, Teaming, Tools, and Skills & Workforce Development. The FAIR Data Innovations Hub is leading the Tools module.

What is the goal of AI-READI project?

The AI-READI project seeks to create a flagship AI-ready and ethically-sourced dataset that will support future AI-drive research projects to provide critical insights into type 2 diabetes mellitus (T2DM), including salutogenic pathways to return to health.

What data will be collected?

The project will aim to collect data from 4,000 participants. To ensure the data is population-representative, the participants will be balanced for three factors: disease severity, race/ethnicity, and sex. Various data types will be collected from each participant, including vitals, electrocardiogram, glucose monitoring, physical activity, ophthalmic evaluation, etc.

How will the project data be made AI-ready?

The AI-READI project data will be made FAIR to optimize reuse by humans and machines (i.e., AI/ML program). The data will additionally be shared according to applicable ethical guidelines to enhance AI-readiness.

What is the fairdataihub's role in the project?

Our team will lead the development of, a web platform with intuitive user interfaces and automation tools that will help data-collecting researchers from the project (and beyond) with managing, curating, and sharing FAIR, ethically-sourced, and AI-ready datasets.

Development Approach

All software and tools from the AI-READI project, including, are developed under an MIT License from the AI-READI organization on GitHub.


The AI-READI project is funded by the National Institutes of Health (NIH)'s Bridge2AI program.

Research Partners

The AI-READI project is lead by multiple institutions. In addition to the FAIR Data Innovations Hub, other institutions collaborating on the AI-READI project include: University of Washington, Oregon Health & Science University, Johns Hopkins University, University of California at San Diego, Stanford University, Native BioData Consortium, University of Alabama at Birmingham, and Microsoft.


September 2022 - Aug 2023 - Year 1 development

The base framework of will be developed and support will be provided uploading data, structuring high-level data and metadata, and sharing data.


Coming soon...