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Along with the advent of the OpenAPS Data Commons for individuals to donate their data anonymously to research, the community is collaborating with various researchers on numerous research projects.

Example projects that are using the OpenAPS Data Commons:

  • A retrospective outcomes study with Johns Hopkins (IRB00121066) was completed in 2018. You can see the results from the study on the outcomes page; or in more detail written up by Dana here.
  • An analyses of sensitivity changes for individuals (using retrospective autosensitivity methods) was completed in 2018 and also presented. The poster is written up here; and in more detail here.
  • In 2019, data from the OpenAPS Data Commons was used to look at biological rhythms in type 1 diabetes. The poster is written up in detail here, and a publication is here.
  • Also in 2019, data from the OpenAPS Data Commons was used in Melmer et al’s publication on a retrospective analysis of n=80 with 19,495 days worth of CGM data. See: “Glycemic Control in Individuals with Type 1 Diabetes Using an Open Source Artificial Pancreas System (OpenAPS)” in Diabetes, Obesity and Metabolism (2019). doi:10.1111/dom.13810
  • In 2020, Zabinsky et al assessed and found “Do-It-Yourself Artificial Pancreas Systems for Type 1 Diabetes Reduce Hyperglycemia without Increasing Hypoglycemia”.
  • In 2022, an n=122 version of the dataset with 46,070 days’ worth of data was used in Shahid et al’s “Large-Scale Data Analysis for Glucose Variability Outcomes with Open-Source Automated Insulin Delivery Systems”.

Additional studies from or about the OpenAPS community are described on the Outcomes page.

Are you interested in doing research in partnership with the OpenAPS community? Contact dana(AT)