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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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Suggested Citation

  • John M. Abowd & Julia I. Lane, 2004. "New Approaches to Confidentiality Protection Synthetic Data, Remote Access and Research Data Centers," Longitudinal Employer-Household Dynamics Technical Papers 2004-03, Center for Economic Studies, U.S. Census Bureau.
    • Handle: RePEc:cen:tpaper:2004-03
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    File URL: https://www2.census.gov/ces/tp/tp-2004-03.pdf
    File Function: First version, 2004
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    Citations

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    Cited by:

    1. Julia Lane & Bryce Stephens, 2006. "Integrated Employer-Employee Data: New Resources for Regional Data Analysis," International Regional Science Review, , vol. 29(3), pages 264-277, July.
    2. 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].
    3. Frauke Kreuter, 2013. "Facing the Nonresponse Challenge," The ANNALS of the American Academy of Political and Social Science, , vol. 645(1), pages 23-35, January.
    4. Sergio I. Prada & Claudia González-Martínez & Joshua Borton & Johannes Fernandes-Huessy & Craig Holden & Elizabeth Hair & and Tim Mulcahy, 2011. "Avoiding Disclosure of Individually Identifiable Health Information," SAGE Open, , vol. 1(3), pages 21582440114, October.
    5. Jahangir Alam M. & Dostie Benoit & Drechsler Jörg & Vilhuber Lars, 2020. "Applying data synthesis for longitudinal business data across three countries," Statistics in Transition New Series, Polish Statistical Association, vol. 21(4), pages 212-236, August.
    6. Geoffrey M. Jacquez & Aleksander Essex & Andrew Curtis & Betsy Kohler & Recinda Sherman & Khaled El Emam & Chen Shi & Andy Kaufmann & Linda Beale & Thomas Cusick & Daniel Goldberg & Pierre Goovaerts, 2017. "Geospatial cryptography: enabling researchers to access private, spatially referenced, human subjects data for cancer control and prevention," Journal of Geographical Systems, Springer, vol. 19(3), pages 197-220, July.
    7. Nowok, Beata & Raab, Gillian M. & Dibben, Chris, 2016. "synthpop: Bespoke Creation of Synthetic Data in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 74(i11).
    8. Daniel Goroff & Jules Polonetsky & Omer Tene, 2018. "Privacy Protective Research: Facilitating Ethically Responsible Access to Administrative Data," The ANNALS of the American Academy of Political and Social Science, , vol. 675(1), pages 46-66, January.
    9. Huang, Yunyou & Zhan, Jianfeng & Luo, Chunjie & Wang, Lei & Wang, Nana & Zheng, Daoyi & Fan, Fanda & Ren, Rui, 2019. "An electricity consumption model for synthesizing scalable electricity load curves," Energy, Elsevier, vol. 169(C), pages 674-683.
    10. 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.
    11. 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.
    12. 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;Southern Demographic Association (SDA), vol. 27(6), pages 639-665, December.
    13. Schleith, Daniel & Widener, Michael & Kim, Changjoo, 2016. "An examination of the jobs-housing balance of different categories of workers across 26 metropolitan regions," Journal of Transport Geography, Elsevier, vol. 57(C), pages 145-160.
    14. Amanda M. Y. Chu & Benson S. Y. Lam & Agnes Tiwari & Mike K. P. So, 2019. "An Empirical Study of Applying Statistical Disclosure Control Methods to Public Health Research," IJERPH, MDPI, vol. 16(22), pages 1-17, November.

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