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US Census Bureau’s DataFerret

DataFerrett (Federated Electronic Research, Review, Extraction, and Tabulation Tool) is a free data mining and extraction tool developed by the U.S. Census Bureau that allows users to search, browse, combine, tabulate, recode, and analyze statistical data from a network of online data libraries. The DataFerret software can be downloaded from the website or ran in the browser via a java applet. Some material to read before getting started:

  1. DataFerret Brochure
  2. Getting Starting with DataFerrett Tour
  3. DataFerret User Guide
Available data sets included:
  • American Community Survey (ACS)
  • American Housing Survey (AHS)
  • Behavioral Risk Factor Surveillance System (BRFSS)
  • Consumer Expenditure Survey (CES)
  • County Business Patterns (CBP)
  • Current Population Survey (CPS)
  • Decennial Census of Population and Housing
  • Harvard-MIT Data Center Collection
  • Home Mortgage Disclosure Act (HMDA)
  • Local Employment Dynamics (LED)
  • National Ambulatory Medical Care Survey (NAMCS)
  • National Center for Health Statistics Mortality (MORT)
  • National Health and Nutrition Examination Survey (HANES)
  • National Health Interview Survey (NHIS)
  • National Hospital Ambulatory Medical Care Survey (NHAMCS)
  • National Survey of Fishing, Hunting, and Wildlife (FHWAR)
  • Small Area Income and Poverty Estimates (SAIPE)
  • Social Security Administration (SSA)
  • Survey of Income and Program Participation (SIPP)
  • Survey of Program Dynamics (SPD)
DataFerret is a wonderful tool for exploring and analyzing data. Enjoy! (found via Open Access News) Continue reading

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Data.gov Goes Live!

Data.gov is now live and ready for you to explore!

The purpose of Data.gov is to increase public access to high value, machine readable datasets generated by the Executive Branch of the Federal Government.
You have a say in the future of Data.gov by suggesting datasets to include and suggest improvements/enhancements to the website. Data.gov has a searchable data catalog that gives access to data through the "raw" data catalog and by using tools. "The Raw Data Catalog provides an instant download of machine readable, platform-independent datasets while the Tools Catalog provides hyperlinks to tools that allow you to mine datasets."
Please note that by accessing datasets or tools offered on Data.gov, you agree to the Data Policy, which you should read before accessing any dataset or tool.
Here is an excerpt from the policy that we need to read closely:
Secondary Use Data accessed through Data.gov do not, and should not, include controls over its end use. However, as the data owner or authoritative source for the data, the submitting Department or Agency must retain version control of datasets accessed. Once the data have been downloaded from the agency's site, the government cannot vouch for their quality and timeliness. Furthermore, the US Government cannot vouch for any analyses conducted with data retrieved from Data.gov. Citing Data The agency's preferred citation for each dataset is included in its metadata. Users should also cite the date that data were accessed or retrieved from Data.gov. Finally, users must clearly state that "Data.gov and the Federal Government cannot vouch for the data or analyses derived from these data after the data have been retrieved from Data.gov."
What do you think? Is the policy fair? Any suggestions for improvement we could make to Data.gov? For more information, visit their FAQ and Tutorial. Also, check out Sunlight Lab's "Apps for America 2: The Data.gov Challenge"!
Just as the federal government begins to provide data in Web developer-friendly formats, we're organizing Apps for America 2: The Data.gov Challenge to demonstrate that when government makes data available it makes itself more accountable and creates more trust and opportunity in its actions. The contest submissions will also show the creativity of developers in designing compelling applications that provide easy access and understanding for the public while also showing how open data can save the government tens of millions of dollars by engaging the development community in application development at far cheaper rates that traditional government contractors.
Now, let's go play around with this new site and make suggestions, shall we? Continue reading

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OpenSecrets.org Goes OpenData

How cool is this? Today the Center for Responsive Politics has announced that it's putting 200 million data records from its archive directly into the hands of citizens, activists, journalists and anyone else interested in following the money in U.S. politics. The data are available through the site's Action Center. Thanks OpenSecrets!

The following data sets, along with a user guide, resource tables and other documentation, are now available in CSV format (comma-separated values, for easy importing) through OpenSecrets.org's Action Center at http://www.opensecrets.org/action/data.php: CAMPAIGN FINANCE: 195 million records dating to the 1989-1990 election cycle, tracking campaign fundraising and spending by candidates for federal office, as well as political parties and political action committees. CRP's researchers add value to Federal Election Commission data by cleaning up and categorizing contribution records. This allows for easier totaling by industry and company or organization, to measure special-interest influence. LOBBYING: 3.5 million records on federal lobbyists, their clients, their fees and the issues they reported working on, dating to 1998. Industry codes have been applied to this data, as well. PERSONAL FINANCES: Reports from members of Congress and the executive branch that detail their personal assets, liabilities and transactions in 2004 through 2007. The reports covering 2008 will become available to the public in June, and the data will be available for download once CRP has keyed those reports. 527 ORGANIZATIONS: Electronically filed financial records beginning in the 2004 election cycle for the shadowy issue-advocacy groups known as 527s, which can raise unlimited sums of money from corporations, labor unions and individuals. To download bulk data from OpenSecrets.org, users must register on the site and agree to prominently credit the Center for Responsive Politics, along with other terms of service. CRP is making its data available through a Creative Commons Attribution-Noncommercial-Share Alike license, which allows users to remix, tweak, build upon and share the Center's work non-commercially. CRP will continue to offer its data to commercial users for a negotiable fee. OpenSecrets.org also offers a number of APIs (Application Programming Interfaces) to give users direct access via web programming to data displayed on OpenSecrets.org. Web developers are already using these APIs to display OpenSecrets data on their web pages and create mashups using live, up-to-date data. Users can also share CRP data using OpenSecrets.org's widgets, which can be placed easily on any website or blog. New widgets for the 2010 election cycle are in development.
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data.gov coming to an internet near you!


As we noted last month, the Federal government is moving forward with their plans for a May launch of data.gov. US CIO Vivek Kundra has said that this is an attempt to ensure that all government data 'that is not restricted for national security reasons can be made public' through data feeds. And just to remind everyone, Wired has launched a wiki for calling attention to datasets that should be shared as part of the Data.gov plan. Please go to the wiki and add those data sets that are near and dear to your hearts! that is all. Continue reading

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Keeping up with data rot

Here's an interesting segment from CBS Sunday Morning from March 1, 2009 in which NY Times Technology writer David Pogue talks about data preservation. There are some great pictures from the Computer History Museum in Silicon Valley -- and don't miss Pogue's interview with the museum's curator Dag Spicer. One of the most memorable quotes is from Don Menerick (sp?), Archivist @ NY Public Library:

"...there's a consensus that as the ability to store more and more data, the data itself has become less and less reliable."
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