The portal provides access to an unprecedented quantity of social sciences quantitative datasets using an easy to use Web interface. It harvests statistical datasets and variables published on the Semantic Web from all the largest European social sciences. CESSDA
data available from the National Bureau of Economic Research data archive. includes macro data such as business cycles, Industry Data such as Job Creation and Destruction Data, International Trade Data, "Individual Data," Hospital Data, Demographic and Vital Statistics, Patent Data, and more such as Data Appendixes from NBER Working Papers and Books, Segregation Data, etc.
compiled by the EBSS Reference Sources & Services Committee[1], a division of the Association of College and Research Libraries. We created this directory with the goal of creating a resource for librarians who regularly need to find statistics for their patrons. We welcome additions or comments. General United States Statistics, Education Statistics, Gerontology Statistics, Psychology Statistics, Social Work Statistics
The Data Preservation Alliance for the Social Sciences (Data-PASS) is a broad-based partnership devoted to identifying, acquiring and preserving data at-risk of being lost to the social science research community. The partners coordinate identification, acquisition, and cataloging of data at risk; develop best practices for data archiving; and create a shared infrastructure and practices for cataloging and preservation. Data-PASS is led by the Inter-university Consortium for Political and Social Research (ICPSR) at the University of Michigan, the Roper Center for Public Opinion Research at the University of Connecticut, the Howard W. Odum Institute at the University of North Carolina-Chapel Hill, the Henry A. Murray Research Archive, a member of the Institute for Quantitative Social Science at Harvard University, the National Archives and Records Administration, and the Harvard-MIT Data Center.
Zanran helps you to find ‘semi-structured’ data on the web. This is the numerical data that people have presented as graphs and tables and charts. For example, the data could be a graph in a PDF report, or a table in an Excel spreadsheet, or a barchart shown as an image in an HTML page. Put more simply: Zanran is Google for data. At present, we extract tables and images from HTML, PDF and Excel files and will be processing PowerPoint and Word documents in the near future.