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Browse local data from the Census Bureau's American Community Survey, based on samples from 2005 to 2009.

What Congress should do to help big data Allow access to confidential data such as the Census data centers Allow sharing between statistical agencies Have a chief data dfficer that promotes a federal data science community of data scientists and statisticians

Hadoop projects are costing 50 times more than expected DHS failed fast with a big data in the cloud project, but quickly and at less cost

The federal government should foster real innovation with government data

Substantial businesses have long "re-purposed" what's available from court proceedings, census publications, CIA atlases, and agency scientific and commercial compilations. It seems plausible that release of, say, crime statistics in Cook County, or water flows of the Colorado River, will be valuable to someone. Which datasets are worth processing first, though?

Specialists widely believe what European Commission VP Neelie Kroes and others have said: "Your data is worth more if you give it away." As with many other IT issues, though the people in the best position to make such measurements are too busy creating the future to invest time rigorously justifying it.

The simple summary is that geo2gov is a spatial search engine. The longer version is that geo2gov takes a location in a variety of different formats (address, postcode, suburb, place name, ip address, etc) and converts them to a GPS location, then drills that point through half a dozen spatial layers to identify federal, state, local and ward level locations, as well as your statistical location within the most recent census.

You can build it but they won’t come. All successful open source projects build communities of supportive engaged developers who identify with the project and keep it productive and useful.

Ongoing maintenance and distribution of the data hasn’t been budgeted for almost all the data sets we have today. This attitude has to change, and new projects give us the chance to get it right, but most existing datasets are unfunded for maintenance and release.

there are at least five different types of Open Data groupie: low-polling governments who want to see a PR win from opening their data, transparency advocates who want a more efficient and honest government, citizen advocates who want services and information to make their lives better, open advocates who believe that governments act for the people therefore government data should be available for free to the people, and wonks who are hoping that releasing datasets of public toilets will deliver the same economic benefits to the country as did opening the TIGER geo/census dataset.