All Our Digital Eggs

In December, Google discontinued its Google Research Datasets service. The idea behind the service was great: Google provided scientists who needed to share very large datasets with storage space in the Google cloud of servers. Their decision to cut the service is part of larger belt-tightening effort as a result of an alarming 68% drop in their fourth quarter profit from the previous year. I don't blame Google for taking this action, but it nonetheless is a jarring example of how putting all of your data eggs in one basket can be very dangerous. It's great to see researchers and others in the public sector sharing more and more of their data. Trouble is, most of the data they're sharing exist on one server, housed either on-site, or by third parties like Google's now defunct service or Amazon.com Public Data Sets. The problem with this particular approach is that when...

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ZDNet: “Information Commons – a Bright Star for the Future of Information”

Information Commons: a bright star for the future of information -Posted by Chris Jablonski In the eyes of its creators, the World Wide Web was never designed to take on the role as the be-all end-all architecture for a truly distributed global information system. But while large vendors, standards groups and technologists have grown dependent on the Web and treat it that way, some researchers are taking a revolutionary approach to the problem and addressing it at the very core of information design. A newly published white paper from Harbor Research (a firm specializing in pervasive computing), entitled “Designing the Future of Information, The Internet beyond the Web” looks at two initiatives—the Information Commons of Maya Design, and Internet Zero from MIT’s Center for Bits and Atoms. The Information Commons is a universal database to which anyone can contribute, and which liberates information by abandoning relational databasing and the client-server...

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