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There’s a reason why certain tools become classics, almost indispensable for everyday life. Image courtesy Annette Gulick, stock.xchng
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Supporting really useful general tools is often the best way to support specialists, says EGEE’s Danielle Venton.
The early days of the World Wide Web were primarily an exclusive, though not a closed, party. Its main attendees were elites in the physics and computer science communities.
Today, the bulk of the developed and developing world is involved. Every sector of society puts the Web to use: your local dance company, church and city council likely all have Web sites. Through these you can learn about and communicate with them in ways not possible before.
Similarly, managing data with e-Infrastructures (distributed computing systems and the like) was, like the Web, initially confined to specialized communities. Today, however, nearly all researchers, including those in the arts and humanities, can use distributed computing systems, and every year more do.
And, like the Web, it is making it possible for them to investigate their field in ways that were not conceived of, or not possible, before.
While the applications used by researchers in the archaeology department of a university may be specific to their field, the e-Infrastructure supporting it would very likely be exactly same as the one used by their colleague in the physics department.
Consider the work of Nicolas Ray at the Computational and Molecular Population Genetics Lab at the University of Bern, Switzerland, who reconstructs human migrations of several thousand years ago by using the genetic diversity of current populations. Ray says that new statistical tools, larger data sets and the robust computing power of computing grids mean he can now examine human migration in greater detail than ever before.
“This is a very exciting field right now — we have so much to study,” he says. “The technology required to obtain genetic data is much cheaper now. We can acquire a large number of genetic markers in many individuals, and obtain data much more rapidly than before.”
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