An international team of researchers, co-led by David Roos, E. Otis Kendall Professor of Biology, has launched the Clinical Epidemiology Database (ClinEpiDB), an open-access online resource enabling investigators to maximize the utility and reach of their data.
Population-based epidemiological studies provide new opportunities for innovation and collaboration among researchers addressing pressing global-health concerns. As with the vast quantities of information emerging in other fields, the technical challenges of sharing and mining gigantic datasets can hamper such efforts. A single epidemiological study may involve tens of thousands of clinical observations on thousands of participants. ClinEpiDB overcomes these hurdles with a computational infrastructure established during the past 20 years for the Eukaryotic Pathogen Database.
“With ClinEpiDB, we are providing a resource to help get the information from large patient studies into the hands of those who can do the most good with it,” says Roos.