BIG IDEAs Lab Datasets Used Around the World

Check out the interactive map below to learn where our datasets are being used by other researchers!

Have you also used one of the BIG IDEAs Lab datasets in your work? If so, please submit information about your work here, so we can feature you on our map!

Datasets Used:

1. BIG IDEAs Lab Glycemic Variability and Wearable Device Data

Continuous glucose monitoring (CGM) systems provide real-time, dynamic glucose information by tracking interstitial glucose values throughout the day. Glycemic variability, also known as glucose variability, is an established risk factor for hypoglycemia (Kovatchev) and has been shown to be a risk factor in diabetes complications. Over 20 metrics of glycemic variability have been identified.

Here, we provide functions to calculate glucose summary metrics, glucose variability metrics (as defined in clinical publications), and visualizations to visualize trends in CGM data.

2. Data+

Traditional Human Activity Recognition (HAR) utilizes accelerometry (movement) data to classify activities. This team examined using physiological sensors to improve HAR accuracy and generalizability. They developed ML models that are going to be available open source in the Digital Biomarker Discovery Pipeline (DBDP) to enable other researchers and clinicians to make useful insights in the field of HAR.

Countries Using Our Datasets:

• China
  • Polytechnic Institute, Zhejiang University
• Czech Republic
  • Department of Computer Science and Engineering, University of West Bohemia in Pilsen
• Germany
  • Institute of Medical Informatics, University of Luebeck
  • Dresden University of Technology
  • Data Engineering Helmut-Schmidt, University Hamburg
• Italy
  • Department of Information Engineering, Università Politecnica delle Marche
• Japan
  • UbiComp Lab, Kyoto University of Advanced Science
  • Department of Health Data Science, Hokkaido University Graduate School of Medicine
• Switzerland
  • CSS Health Lab, Centre for Digital Health Interventions, University of St. Gallen and ETH Zurich
  • Quality of Life (QoL) Technologies Lab, University of Geneva
• United Kingdom (UK)
  • University of Manchester
• United States of America (USA)
  • New York University
  • University of North Carolina at Greensboro