
Data
Experimental isarithmic maps visualise electoral data
Digital Humanities Spotlight: 7 Important Digitization Projects
Big Data Now: Current Perspectives from O'Reilly Radar - O'Reilly Media
<img src="http://radar.oreilly.com/2011/08/25/0811-mysociety.png" border="0" alt="mySociety" width="270" style="float: right;margin: 3px 0 10px 10px" /> There has been much hand-wringing of late about whether the explosion of government-run app contests over the last couple of years has generated any real value for the public. With only one of the Apps for Democracy projects still running, it’s easy to see the entire movement being written off as an overly optimistic fad. The organisation that I’m lucky enough to lead — mySociety — didn’t come from the world of app contests, but it does build the kind of open-source , open-data-grounded civic apps that such contests are suppose to produce. I believe that mySociety’s story shows that it’s possible to build meaningful, impactful civic and democratic web apps, to grow them to a scale where they’re unambiguously a good use of time and money, then sustain them for years at a time.
How to create sustainable open data projects with purpose
Visualization deconstructed: Why animated geospatial data works
The world has changed. And some things that should not have been forgotten, were lost. I found these words from the Lord of the Rings echoing in my head as I listened to a fascinating presentation by Luiz André Barroso , Distinguished Engineer at Google, concerning Google's legendary past, golden present, and apocryphal future. His talk, Warehouse-Scale Computing: Entering the Teenage Decade , was given at the Federated Computing Research Conference . Luiz clearly knows his stuff and was early at Google, so he has a deep and penetrating perspective on the technology.
The Three Ages of Google - Batch, Warehouse, Instant
Sunlight Labs: Blog - The Coming Government Data Flood
Government is releasing data at a breakneck pace, and it is just getting started. One interesting side effect of our National Data Catalog is that we're regularly parsing all of the data on data.gov, and we're able to do interesting things with the aggregate metadata. By parsing out the release date for each dataset on data.gov, and grouping each release by quarter though it's easy to see that since the second quarter of 2009-- when Data.gov was released, the federal government has released more raw datasets than it ever has in the past. Take a look at what's happened after Data.gov launched: Now, granted, like all government data-- it's a little messy. These are bulk, aggregate conclusions and haven't been reviewed, but they point to a trend regardless of their accuracy.Why you can't really anonymize your data
Bracing for the Data Deluge
A special report on managing information: Data, data everywhere
<a href="//ad.doubleclick.net/jump/teg.fmsq/ajqj/a;specialreport=20100225;subs=n;wsub=n;sdn=n;!c=15557443;dcopt=ist;pos=ldr_top;sz=728x90,970x90,970x250;tile=1;ord=781912008?" target="_blank"><img src="//ad.doubleclick.net/ad/teg.fmsq/ajqj/a;specialreport=20100225;subs=n;wsub=n;sdn=n;!c=15557443;dcopt=ist;pos=ldr_top;sz=728x90,970x90,970x250;tile=1;ord=781912008?"Metamarkets Blog » Blog Archive » The Rise of Interactive Data Visualization
The visualization below highlights something only recently possible on the web: a dynamic, interactive canvas. Titled “Disaster Strikes: A World In Sight” , it visualizes a century of floods, fires, droughts, and earthquakes around the globe. (Below is a snapshot of 1996, an apparently costly year for disasters). It’s not a passively animated graphic, but one that users can actively engage with, freezing or pivoting dimensions to reveal new views of the data. It’s a harbinger of a new class of documents, which digital publishers are beginning to embrace, to provide a richer information experience for readers.Supply chains come in all shapes and sizes. Supply chain complexity increases as it becomes larger or more geographically extended or more data intensive. Lora Cecere, a partner at Altimeter Group, recently wrote a post focused on "the big data supply chain." [" User in the Era: Big Data Supply Chains ," Supply Chain Shaman, 1 June 2011]. Since "big data" may be a new term for some readers, Cecere begins her post by explaining what she means by "big data." She writes:
Enterprise Resilience Management Blog: Big Data Supply Chains
In my old age, at least for the computing industry, I’m getting more irritated by smart young things that preach today’s big thing, or tomorrow’s next big thing, as the best and only solution to my computing problems. Those that fail to learn from history are doomed to repeat it, and the smart young things need to pay more attention. Because the trends underlying today’s computing should be evident to anyone with a sufficiently good grasp of computing history.
The next, next big thing
<img src="http://radar.oreilly.com/2011/05/16/0511-m2m.png" width="250" border="0" alt="M2M screenshot" style="float: right;margin: 3px 0 10px 10px" /> The shift from transporting voice to delivering data has transformed the business of mobile carriers, but there’s yet another upheaval on the horizon: machine to machine communications (M2M) . In M2M, devices and sensors communicate with each other or a central server rather than with human beings. These devices often use an embedded SIM card for communication over the mobile network.

