by Jake Meyer
Stephen Friend, a former senior vice president at Merck & Co., and Eric Schadt, the former executive scientific director of a subsidiary of Merck & Co., have announced plans to create an open-access online database of medical research called Sage, with the hopes of making it the "Google of biological science." Sage was designed "to create open access, integrative bionetworks, evolved by contributor scientists, to accelerate the elimination of human disease." According to Friend, "biology has mostly been archivists building up stacks of data," producing "linear data that set out . . . variations, rather then give us an understanding." By establishing a forum where researchers can view and post data, Friend hopes to create a dynamic database of clinical, genetic, and other molecular data where researchers can collaborate and develop novel solutions to complex diseases. It will take time for the project to develop into the global network of scientists Friend imagines; however, he hopes to start by addressing a few core diseases, including metabolic diseases, diabetes, and cancer.
Studies conducted by researchers at Merck's subsidiary, Rosetta, which resulted in at least nine papers published in peer reviewed journals in 2008, serve as the foundational research for Sage. To help launch the project Merck is donating equipment and software, the pharmaceutical company Whitehouse Station is donating genomic information that doesn't relate to its drug discovery programs, and the Massachusetts General Hospital (affiliated with Harvard Medical School) is donating brain tissue samples. A 3-5 year "incubation period" is planned for Sage during which it will operate in partnership with only a select few universities (potentially including University of Washington, Yale University, and University of California at San Francisco). During this period, Sage's governing rules will be tweaked and a tool kit will be created for submission and review of the database. The development model of Sage is similar to Facebook by making the website available only to select universities with minimal features before expanding to researchers at other universities, and eventually the public.
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