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By: Kim Dionne
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Notification
« Adventures in Identification I: Voting After the Bomb | Main | Initiative for Innovative Computing - Edward Tufte »
14 February 2007
Data sharing and visualization
A friend of mine pointed me to this website, Many eyes. Basically any random person can upload any sort of dataset, visualize the dataset in any number of ways, and then make the results publically available so that anyone can see them.
The negative, of course, is much the same as with anything that "just anyone" can contribute to: there is a lot of useless stuff, and (if the source of the dataset is uncited) you don't know for sure how valid the dataset itself is. There may be a lot of positives, though: the volume of data alone is like a fantastic dream for many a social scientist; it's a great tool for getting "ordinary people" interested in doing their own research or analysis of their lives (for instance, I noticed some people graphing changes in their own sports performance over time); many of the interesting datasets have ongoing conversations about them; and only time will tell, but I imagine there is at least a chance this could end up being Wikipedia-like in its usefulness.
It may also serve as a template for data-sharing among scientists. Wouldn't it be nice if, every time you published, you had to make your dataset (or code) publically available? We might already be trending in that direction, but some centralized location for scientific data-sharing sure would speed it along.
Posted by Amy Perfors at February 14, 2007 10:24 AM
Comments
There's also the site Swivel that the Freakonomics Blog called the "Youtube for Data." It's quite new (released on 06 Dec 2006). I'm not sure how it compares to Many Eyes in terms of quality control, but for such a young site, I think it has some great data sets. I also like that it focuses more on "data" than on "visualization" - a personal preference, perhaps. Where else could you find the W-Nominate Scores for the 52nd Session of the Brazilian Camara dos Deputados?
Posted by: Kim Dionne at February 15, 2007 2:37 PM