Biomedical investigators such as Musen worry that the big data revolution will fizzle out if it continues to be difficult for scientists to locate their colleagues' experimental datasets online, to glean how the experiments actually were performed and to understand how the data should be interpreted.
CEDAR will collaborate with the Human Immunology Project Consortium, HIPC, to create a test bed for studying the use of its methods throughout the full lifecycle of data annotation, data acquisition and data analysis in an industrial-scale setting.
Enhancing mobility through data integration
The second grant, roughly $12 million over four years, went to Scott Delp, PhD, professor of bioengineering and mechanical engineering, for the Mobility Data Integration to Insight project, known as the Mobilize Center.
As Delp points out in his proposal, mobility is essential for human health. Yet many conditions, such as cerebral palsy, osteoarthritis and obesity limit mobility at an enormous personal and societal cost. The Mobilize Center seeks to transform the field of mobility research by developing essential tools for data analysis that will advance research to prevent, diagnose and reduce impairments that limit human movement.
The center will develop and disseminate a range of novel data science tools, including modeling and analysis methods to predict and improve the outcomes of surgeries in children with cerebral palsy and gait pathology; to identify new approaches to optimize mobility in individuals with osteoarthritis, running injuries and other movement impairments; and to discover methods that motivate overweight and obese individuals to exercise more and in ways that promote joint health.
"The proliferation of devices monitoring human activity, including mobile phones and an ever-growing array of wearable sensors, is generating unprecedented quantities of data describing human movement, behaviors and health," says Delp, program director and principal investigator of the Mobilize Center. "Yet there is a dearth of methods for analyzing these massive, heterogenous datasets." All of this data, created by diverse sources, remains siloed in isolated labs and minimally utilized.
"Mobility research is severely limited by the inability to integrate and analyze the vast quantity of data," says Delp. "Our Center will integrate and analyze mobility big data from a variety of sources to help researchers and clinicians answer a broad range of questions. With the insights gained from subjecting these massive amounts of data to our state-of-the-art analytical techniques, we hope to enhance mobility across a large segment of the population."