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…THE LONG TAIL OF SCIENCE DATA<br />

<br />

RICHARD HEIMANN<br />

Analytics Coordinator<br />

Data Tactics Corportation<br />

McLean, Va.<br />

www.data-tactics-corp.com<br />

THE 20TH CENTURY was seminal for the natural sciences, with discoveries such<br />

as penicillin (Fleming, 1945), the polio vaccine (Salk, 1952), the double helix structure<br />

of DNA (Watson & Crick, 1953), and the first complete DNA sequence of an<br />

organism (Sanger et al., 1977), all of which advanced human understanding and<br />

human welfare. The advent of the OpenWeb and a seemingly endless amount of<br />

new science data have the potential to do for the computational social sciences in<br />

the 21st century what other measurement tools did for the natural sciences of the<br />

20th century – advancing further human understanding and human welfare. Big<br />

Data will be central to that pursuit.<br />

“Data is the new oil” is a phrase coined by Clive Humby and embraced by the<br />

World Economic Forum in 2011 as it considered data as an economic asset like oil.<br />

Every day, we create 2.5 quintillion bytes of data – so much that 90% of the data<br />

in the world today has been created in the last two years alone. (IBM) These data<br />

come from everywhere: hard sensors used to gather information, the social web,<br />

transaction records, and cell phone GPS signals, to name a few. The amount of such<br />

data is big and by every account growing exponentially. These facts, however, give<br />

no hint to where the largest growth is, or comparatively speaking, where the greatest<br />

rewards lie for researchers. It is difficult to believe that data are increasing uniformly.<br />

34<br />

IMAGING NOTES // WINTER 2013 // WWW.IMAGINGNOTES.COM

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