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dc.contributor.authorVilhuber, Lars
dc.contributor.authorAbowd, John M.
dc.date.accessioned2017-05-26T17:09:13Z
dc.date.available2017-05-26T17:09:13Z
dc.date.issued2017-05-09
dc.identifier.citationL. 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.en_US
dc.identifier.urihttps://hdl.handle.net/1813/50059
dc.description.abstractThis 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.en_US
dc.description.sponsorshipThe 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.en_US
dc.language.isoen_USen_US
dc.relation.hasversionThis is an excerpt of http://hdl.handle.net/1813/43883en_US
dc.relation.urihttps://hdl.handle.net/1813/43883
dc.subjectsynthetic data serveren_US
dc.subjectsynthetic longitudinal business databaseen_US
dc.titleExcerpt: Usage and outcomes of the Synthetic Data Serveren_US
dc.typepresentationen_US


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