JSM 2005 Online Program

Abstract #302669

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	431
Type:	Invited
Date/Time:	Wednesday, August 10, 2005 : 2:00 PM to 3:50 PM
Sponsor:	Section on Government Statistics
Abstract - #302669
Title:	Issues in Designing a Confidentiality Preserving Model Server
Author(s):	Philip Steel*+
Companies:	U.S. Census Bureau
Address:	RM 3209 FB4, Washington, DC, 20233-9100, United States
Keywords:	disclosure avoidance ; model servers ; confidentiality ; data access
Abstract:	There are datasets, or portions of datasets, inappropriate for publication as microdata because of the risk of identifying participants and disclosing data about them. Research Data Centers (RDCs) offer one means of utilizing such data. One of mechanisms the Census Bureau uses to minimize risk in the RDC setting is to emphasize model output rather than tabular output. The experience in reviewing the output from RDCs lends credence to the idea that model servers may be a good means of utilizing confidential data without direct access. The Census Bureau is developing a pilot project to determine if such a system can be offered to the public without risking the confidentiality of the underlying data. There are a variety of design issues. Can the review of output be automated? Does it offer enough descriptive tools? Is it user friendly? What sort of confirmatory data is offered? Is it scalable? Above all, is it safe?

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