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A short post, sparked by two related items that arrived by Twitter and email almost simultaneously.
Via Twitter, TechnologyReview reports that it’s getting easier to visualise massive data sets without the traditional supercomputer.
Via email, the UK’s Joint Information Systems Committee (JISC) announces its contribution of £200,000 to a joint funding call with the United States’ National Science Foundation (NSF) and National Endowment for the Humanities (NEH), and Canada’s Social Sciences and Humanities Research Council (SSHRC). The scope of the call? The challenge of working with Big Data. I’m very keen to see the bids to that particular call… and to see the innovation that answering its challenges will (hopefully!) spark.
Add to that my post last month about Amazon’s Public Data sets, and the signs are getting ever-stronger that there are real opportunities here.
It’s getting easier to manage massive data sets. Those data sets are increasingly addressable over the Web. There’s growing interest in working across and between data sets, and there are even licenses to ensure that researchers can do what they need to.
Interesting times, indeed.
Article Tagged: Amazon, AWS, Digging into Data Challenge, Joint Information Systems Committee, Linked Data, National Endowment for the Humanities, National Science Foundation, Open Data, Open Data Commons, Social Sciences and Humanities Research Council, Twitter« « Semantic Web Gang podcast for January talks about Linked Data and Thomson Reuters
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Paul Miller works at the interface between the worlds of Cloud Computing and the Semantic Web, providing the insights that enable you to exploit the next wave as we approach the World Wide Database.