Who could make sense out of mountains of scientific data ?


I posted earlier today about the mountain of cancer data donated by GlaxoSmithKline. While scientist and big pharmaceuticals are constantly generating more biological data the bottle neck problem is mining this data to find useful information.

Over at PIMM, Attila in his blog discusses a feature article in Wired magazine and offers a potential solution to this data infoglut problem (which is only going to get larger) might be Google, whose mission statement is: “to organize the world’s information and make it universally accessible and useful”. Could Google with their infrastructure and high concentrations of very smart people make sense of the current, and coming, infloglut of scientific data sets? Very interesting question.


And an update on the personal genomic squabble between the California government, who sent ceased and desist orders, and the genetic testing companies is covered here.