The OhioT1DM Dataset

The OhioT1DM dataset is available to researchers interested in improving the health and wellbeing of people with type 1 diabetes. It contains 8 weeks worth of data for each of 12 people with type 1 diabetes. These people were all on insulin pump therapy with continuous glucose monitoring (CGM). They provided blood glucose data, insulin data, self-reported life-event data, and data from physiological fitness bands. The dataset includes: a CGM blood glucose level every 5 minutes; blood glucose levels from periodic self-monitoring of blood glucose (finger sticks); insulin doses, both bolus and basal; self-reported meal times with carbohydrate estimates; self-reported times of exercise, sleep, work, stress, and illness; and physiological data from fitness bands. A paper fully describing the dataset is available: The OhioT1DM Dataset for Blood Glucose Level Prediction: Update 2020.

Data for the first 6 data contributors was originally released for the first Blood Glucose Level Prediction (BGLP) Challenge; this data is available to researchers now. Data for an additional 6 people is currently being released to participants in the second BGLP Challenge, to be held in conjunction with the 5th International Workshop on Knowledge Discovery in Healthcare Data, at ECAI 2020, in June of 2020. This data will be made available to others immediately following the BGLP Challenge.

To protect the data and ensure that it is used only for research purposes, a Data Use Agreement (DUA) is required. The DUA must be signed by a legal signatory for the research institution as well as by the principal investigator. Researchers can click here to Request the Data Use Agreement for the OhioT1DM Dataset. Once a DUA is executed, the dataset will be released, along with the OhioT1DM Viewer, a tool for data visualization.

 

This work is supported by grant 1R21EB022356 from the National Institutes of Health (NIH).