NEW YORK (GenomeWeb News) — Scientists at three US universities will use around $4 million in total funding from the National Institutes of Health to collaborate on informatics-focused clinical and translational research programs.
The two-year informatics pilot projects program, administered by the National Center for Research Resources and funded under the NIH Clinical and Translational Research Awards program, will support lead investigators at Case Western Reserve University, Vanderbilt University, and the University of Washington.
"These projects, which will build on the existing strong informatics expertise at the institutions, will promote new ways in which to enable researchers to collaborate and communicate across the CTSA consortium and with other partners in their research," NCRR Director Barbara Alving said in a statement. "The projects are one important part of a larger effort to achieve the potential of clinical and translational science and reduce the time it takes to develop new treatments for disease."
Susan Redline at Case Western Reserve will lead a team that includes researchers at the University of Wisconsin, Madison, the University of Michigan, and at the Marshfield Clinic. They will work to develop Physio-MIMI, an informatics structure used to collect, manage, and analyze diverse data types, such as heart or brain monitoring data and genomic information, that could be used to help scientists collaborate in national studies.
Nicholas Anderson of the University of Washington will run a team that includes investigators at the University of California, Davis, and the University of California, San Francisco, which will use Harvard University’s i2b2 software architecture to support cross-institution searchers. The aim of this program will be to provide model polices and procedures to advance clinical data sharing across institutions.
Paul Harris of Vanderbilt will head a group including scientists at Oregon Health and Sciences University and Mayo Clinic. This team will focus on extending the capabilities of the Research Electronic Data Capture software system, which is used to provide researchers a workflow to develop secure, web-based applications for sharing, collecting, and managing data from clinical studies. The team's enhancements will make the system useful to "a significantly greater number of studies and facilitate national and international collaborations," according to NIH.