Abstract
This paper describes a proposal to combine three approaches that will enable research access to high quality data while preserving confidentiality. These approaches are: developing synthetic microdata which can be accessed at a restricted access site (a virtual Research Data Center), together with access to the “gold standard” analytical data set through a Research Data Center network. It also describes the promise of the development of other datasets – particularly multiple public use files that can be created from the same underlying data that can be targeted at different audiences
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Abowd, J.M., Lane, J.: Synthetic Data Confidentiality Protection, mimeo, Cornell University and the Urban Institute (2004)
Abowd, J.M., Woodcock, S.: Disclosure Limitation in Longitudinal Linked Data. In: Doyle, P., Lane, J., Theeuwes, J., Zayatz, L. (eds.) Confidentiality, Disclosure and Data Access: Theory and Practical Applications for Statistical Agencies, North Holland, pp. 215–277. Amsterdam (2001)
Abowd, J.M., Woodcock, S.: Multiply-Imputing Confidential Characteristics and File Links in Longitudinal Linked Data, mimeo, Cornell University (2003)
Agrawal, R., Srikant, R.: Privacy preserving data mining. In: Proc. 2000 ACM SIGMOD Int’l Conf. Management of Data, pp. 439–450. ACM Press, New York (2000)
Blakemore, M.: The Potential and Perils of Remote Access. In: Doyle, P., Lane, J.I., Theeuwes, J.J.M., Zayatz, L.M. (eds.) Confidentiality, Disclosure, and Data Access: Theory and Practical Application for Statistical Agencies, pp. 315–340. Elsevier, Amsterdam
Domingo-Ferrer, J., Torra, V.: Advanced Record Linkage for Disclosure Risk Assessment. Presented at National Science Foundation, mimo (May 21-22, 2003)
Doyle, P., Lane, J.I., Theeuwes, J.J.M., Zayatz, L.M.: Confidentiality, Disclosure, and Data Access: Theory and Practical Application for Statistical Agencies, pp. 315–340. Elsevier, Amsterdam
Dunne, T.: ssues in the establishment and management of secure research sites. In: Doyle, P., Lane, J., Theeuwes, J., Zayatz, L. (eds.) Confidentiality, Disclosure and Data Access: Theory and Practical Applications for Statistical Agencies, North Holland, Amsterdam (2001)
Fienberg, S.: Allowing Access to Confidential Data: Some Recent Experiences and Statistical Approaches. Presented at Statistics, Sweden (August 21, 2003)
Greenia, N.: Developing Adoptable Disclosure Protection Techniques: Lessons Learned from a U.S. Experience. In: Domingo-Ferrer, J., Torra, V. (eds.) PSD 2004. LNCS, vol. 3050, pp. 343–352. Springer, Heidelberg (2004)
Muralidhar, K., Sarathy, R.: Application of the Two-step Data Shuffle to the 1993 AHS Data: A Report on the Feasibility of Applying Data Shuffling for Microdata Release. research report prepared for the Census Bureau (June 2002)
Rubin, D.B.: Discussion on statistical disclosure limitation. Journal of Official Statistics 9(2), 461–468 (1993)
Soete, L., ter Weel, B.: ICT and Access to Research Data: An Economic Review. Maastricty Economic Research Institute on Innovation and Technology, mimeo (March 2003)
Yancey, W.E., Winkler, W.E., Creecy, R.H.: Disclosure Risk Assessment in Perturbative Microdata Protection. Research Report Series Statistics 2002-01, available online at http://www.census.gov/srd/papers/pdf/rrs2002-01.pdf (cited June 11, 2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Abowd, J.M., Lane, J. (2004). New Approaches to Confidentiality Protection: Synthetic Data, Remote Access and Research Data Centers. In: Domingo-Ferrer, J., Torra, V. (eds) Privacy in Statistical Databases. PSD 2004. Lecture Notes in Computer Science, vol 3050. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25955-8_22
Download citation
DOI: https://doi.org/10.1007/978-3-540-25955-8_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22118-0
Online ISBN: 978-3-540-25955-8
eBook Packages: Springer Book Archive