Data Collection
Develop and implement a protocol that will generate a multimodal dataset for the study of type 2 diabetes.
Capturing Heteogensity in Diabetes with Multimodal Data
The data will be balanced diabetes severity categories: 1) No Diabetes, 2) Prediabetes or Lifestyle-Controlled Diabetes, 3) Oral and Non-Insulin Injectable Controlled Diabetes, and 4) Insulin-Controlled Diabetes.
To achieve that, data is being collected at three study sites: University of Alabama at Birmingham (UAB), University of California San Diego (UCSD), and University of Washington (UW). The same study protocol is followed at each site where a wide range of data types are collected from each participant including survey responses, vision assessment results, retinal imaging, EKG, continuous glucose monitoring, at-home environment measures, and activity monitoring data. Extraction of electronic health records (EHRs) is also planned.
Management and Processing of Data
We are developing a novel platform called FAIRhub that is aimed at facilitating the management and sharing of data being collected in the project. The study management component of FAIRhub (app.fairhub.io) enables the data collecting sites to upload data on the go as it is being collected and to track data collection through dashboards. The platform also includes automation tools to extract metadata according to our selected standards for making the data AI-ready (see Data Sharing page).
Team
Meet the people behind the scenes who make it all happen.