To encourage and support researchers to make their study data more accessible, the Mobilize Center is developing data-sharing communities.  

The data that are currently available to most researchers remain a tiny fraction of the human motion data that have been collected. Much of the data are isolated in research labs, clinics, and industry servers around the world, hampering the analysis of these data and the development of new methods to be applied to them. 

Through our data-sharing communities, we seek to increase the number and quality of research datasets that are shared. Such efforts will also enable us to understand and lower barriers to data sharing.  

We are currently launching a data-sharing community focused on the prediction of metabolic energy expenditure during movement from other objective measurements, such as optical motion capture, IMUs, and EMG. If you are interested in participating, contact our Data Sharing Lead, Joy Ku, at joyku@stanford.edu.

Learn more about our data-sharing communities

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