Data repositories provide a valuable resource for the public; however, the lack of standards in terminology, presentation, and access of this data across repositories reduces the accessibility and usability of these important data sets. This problem is complex and likely requires a community effort to identify what makes a "good" repository, both in technical and information terms. This site provides a starting point for this discussion.
This site was created by Rachael Bradley and Samah Ramadan with input from Ben Shneiderman and University of Maryland, College Park's CMSC 838S Information Visualization Class.
This site suggests criteria for evaluating repositories and applies them to a list of statistical repositories. We've selected statistical data because it is one of the simplest data types to access and describe. Since our purpose is partly to encourage visualization tools, statistical data is also one of the easiest to visualize. The list is not comprehensive but should grow over time. By "repositories" we mean a site that provides access to multiple tables of data that they have collected. We did not include sites that linked to other site's data sources.