“We’ll be swamped in data,” said Cooper. “The breakthroughs will come from those able to see new types of patterns that require new concepts to explain.”
Fred Hutch epidemiologist Dr. Polly Newcomb says she sees her entire field changing course, thanks to new abilities to mine and analyze large amounts of patients’ medical information (with their consent, of course). Previously, epidemiologists had to proactively and painstakingly collect data and samples, she said.
“In the coming years, I am confident that most health studies will leverage information that has been collected for clinical care,” Newcomb said. “There is so much we don’t know, but I am convinced the salient data is out there, we just need to figure out how to structure our observations.”
Researchers in many fields are coming up with new ways to store, share and find meaning in these reams and reams of data. Often, the amount of data generated from modern experiments is more than any single research center can handle, leading to unprecedented efforts to wrangle this information collaboratively and internationally in what are being called scientific data commons.
For biomedical research, “2018 will be the year of the commons,” said Matthew Trunnell, Fred Hutch’s chief information officer.