A unified data format for managing diabetes time-series data: DIAbetes eXchange (DIAX)

TL;DR

DIAX is a standardized JSON format designed to unify and facilitate sharing of diabetes time-series data from various devices, enhancing research, machine learning, and interoperability.

Contribution

The paper introduces DIAX, a novel open-source data format that standardizes diabetes device data, supporting major datasets and promoting reproducibility and extensibility.

Findings

Supports over 10 million patient-hours of data.

Compatible with major diabetes datasets.

Provides tools for conversion, visualization, and community collaboration.

Abstract

Diabetes devices, including Continuous Glucose Monitoring (CGM), Smart Insulin Pens, and Automated Insulin Delivery systems, generate rich time-series data widely used in research and machine learning. However, inconsistent data formats across sources hinder sharing, integration, and analysis. We present DIAX (DIAbetes eXchange), a standardized JSON-based format for unifying diabetes time-series data, including CGM, insulin, and meal signals. DIAX promotes interoperability, reproducibility, and extensibility, particularly for machine learning applications. An open-source repository provides tools for dataset conversion, cross-format compatibility, visualization, and community contributions. DIAX is a translational resource, not a data host, ensuring flexibility without imposing data-sharing constraints. Currently, DIAX is compatible with other standardization efforts and supports major datasets (DCLP3, DCLP5, IOBP2, PEDAP, T1Dexi, Loop), totaling over 10 million patient-hours of data. https://github.com/Center-for-Diabetes-Technology/DIAX