Registered Users
Better Access to Data for Global Interdisciplinary Research
 

Welcome to BADGIR, an on-line data archive at the University of Wisconsin - Madison. The archive is a cooperative venture organized by the Center for Demography of Health and Aging (CDHA) with contributions from the Center for Demography and Ecology (CDE) and the Data and Information Services Center (DISC). Computing services are provided by the Social Science Computing Cooperative (SSCC). From this portal you can browse or search data documentation (e.g., metadata, codebooks) and univariate summary statistics (e.g., mean, frequency counts). Registered users can also create cross-tabulations that can be downloaded in MSExcel format, and perform regression analyses (registration required). Registered users who are interested in performing more sophisticated multivariate analyses can create and download customized data sets that can be imported into a variety of statistical packages (e.g., SPSS, SAS, STATA).

Our on-line data archive is powered by the Nesstar software suite. If you are new to Nesstar, or are unfamiliar with Webview (the new browser interface that allows you to view data documentation, search for studies and variables of interest, analyze data, and download data), be sure to take a look at the Webview User Guide . New users and users of earlier versions of NesstarLite will find the information on advanced search , on search results and on creating tables, to be particularly useful.

To register, you will need a working email address. You will be asked to select a password and to review and submit a completed data user agreement. For your convenience, you can complete an on-line registration form by clicking the 'Register' button below.

You do not need to register if you are interested only in reviewing research reports or other related publications rather than analyzing the data yourself.

You can access research reports and related publications using CDHA's online annotated bibliography . Additional codebooks, research reports, and other related publications can be found in the DISC collection. Faculty, staff, and students at the University of Wisconsin - Madison might also search the campus library system for additional related holdings.

You do not need to register if you are interested only in reviewing data documentation or univariate statistics, which you may access through the 'browse' button below.

Analyze or Download Data
Registered Users

Unregistered Users

If you would like to access the BADGIR data you must first complete a short registration form to obtain a username and password.

Browse data documentation
No Registration Required

 


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