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dc.contributor.authorVilhuber, Lars
dc.date.accessioned2020-02-16T02:00:58Z
dc.date.available2020-02-16T02:00:58Z
dc.date.issued2019-08-13
dc.identifier.urihttps://hdl.handle.net/1813/69624
dc.descriptionPresentation made at the Conference on Current Trends in Survey Statistics 2019 at the Institute for Mathematical Sciences, National University of Singapore, Singapore, 13 - 16 August, 2019en_US
dc.description.abstractThe 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 7 years, 4 synthetic datasets were made available on the server, and over 120 users have accessed the server over that time period. This paper reports on 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 a access gateway to and educational tool for other mechanisms of accessing detailed person, household, establishment, and firm statistics.en_US
dc.description.sponsorshipVilhuber acknowledges funding through NSF Grants SES-1131848 and SES-1042181, and a grant from Alfred P. Sloan Grant (G-2015-13903).en_US
dc.language.isoen_USen_US
dc.relation.hasversionExpanded version of https://hdl.handle.net/1813/43883en_US
dc.relation.urihttps://hdl.handle.net/1813/43883
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectconfidentiality protectionen_US
dc.subjectsynthetic dataen_US
dc.subjectlongitudinal business microdataen_US
dc.subjectvalidation serveren_US
dc.titleUtility of two synthetic data sets mediated through a validation server: Experience with the Cornell Synthetic Data Serveren_US
dc.typepresentationen_US
schema.accessibilityFeaturebookmarksen_US
schema.accessibilityFeaturetaggedPDFen_US
schema.accessibilityHazardnoneen_US


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