Excerpt: Usage and outcomes of the Synthetic Data Server
Vilhuber, Lars; Abowd, John M.
This is an excerpt from a prior presentation at the Society of Labor Economists (2016). The Synthetic Data Server (SDS) at Cornell University was set up to provide early access to new synthetic data products by the U.S. Census Bureau. These datasets are made available to interested researchers in a controlled environment, prior to a more generalized release. Over the past 5 years, 4 synthetic datasets were made available on the server, and over 100 users have accessed the server over that time period. This paper reports on interim outcomes of the activity: results of validation requests from a user perspective, functioning of the feedback loop due to validation and user input, and the role of the SDS as an access gateway to and educational tool for other mechanisms of accessing detailed person, household, establishment, and firm statistics.
The Synthetic Data Server has received funding from NSF Grants 1042181 and 0941226, as well as funding from the Alfred P. Sloan Foundation. Funding for the workshop is provided by the National Science Foundation (CNS-1012593, SES-1131848) and the Alfred P. Sloan Foundation.
synthetic data server; synthetic longitudinal business database
This is an excerpt of http://hdl.handle.net/1813/43883
Previously Published As
L. Vilhuber and J. M. Abowd, “Presentation: SOLE 2016: Usage and outcomes of the Synthetic Data Server,” NSF Census Research Network – NCRN-Cornell, 1813:43883, 2016.