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New Approaches to Confidentiality Protection Synthetic Data, Remote Access and Research Data Centers

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  • John M. Abowd
  • Julia I. Lane

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File URL: ftp://ftp2.census.gov/ces/tp/tp-2004-03.pdf
File Function: First version, 2004
Download Restriction: no

Bibliographic Info

Paper provided by Center for Economic Studies, U.S. Census Bureau in its series Longitudinal Employer-Household Dynamics Technical Papers with number 2004-03.

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Length: pages
Date of creation: Jun 2004
Date of revision:
Handle: RePEc:cen:tpaper:2004-03

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Cited by:
  1. Prada, Sergio I & Gonzalez, Claudia & Borton, Joshua & Fernandes-Huessy, Johannes & Holden, Craig & Hair, Elizabeth & Mulcahy, Tim, 2011. "Avoiding disclosure of individually identifiable health information: a literature review," MPRA Paper 35463, University Library of Munich, Germany.
  2. John M. Abowd & Kaj Gittings & Kevin L. McKinney & Bryce E. Stephens & Lars Vilhuber & Simon Woodcock, 2012. "Dynamically Consistent Noise Infusion and Partially Synthetic Data as Confidentiality Protection Measures for Related Time Series," Working Papers 12-13, Center for Economic Studies, U.S. Census Bureau.
  3. Reiter, Jerome P. & Drechsler, Jörg, 2007. "Releasing multiply-imputed synthetic data generated in two stages to protect confidentiality," IAB Discussion Paper 200720, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  4. Myron Gutmann & Kristine Witkowski & Corey Colyer & JoAnne O’Rourke & James McNally, 2008. "Providing Spatial Data for Secondary Analysis: Issues and Current Practices Relating to Confidentiality," Population Research and Policy Review, Springer, vol. 27(6), pages 639-665, December.

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