To encourage and support researchers to make their study data more accessible, the Mobilize Center is developing data-sharing communities. Through these communities, we seek to understand and overcome barriers to data sharing. Our specific goals for the data communities we create are to:  

  • Provide useful benchmarks to accelerate algorithm development
  • Facilitate the aggregation of data to conduct analyses with greater statistical power, and 
  • Provide a foundation for machine-learning-based predictive modeling

We are currently launching a data-sharing community focused on the prediction of metabolic energy expenditure from other objective measurements, such as optical motion capture, IMUs, and EMG. 

We hope that the infrastructure we develop for this community will serve as an example for other similar efforts and are eager to assist others in developing other data-sharing communities. If you are interested in participating in our metabolic energy expenditure data-sharing community or would like to lead a data-sharing community, please contact Joy Ku at joyku@stanford.edu.


Keep Updated on Data-Sharing Communities