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A Proposed Solution to the Archiving and Curation of Confidential Scientific Inputs

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Privacy in Statistical Databases (PSD 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7556))

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Abstract

We develop the core of a method for solving the data archive and curation problem that confronts the custodians of restricted-access research data and the scientific users of such data. Our solution recognizes the dual protections afforded by physical security and access limitation protocols. It is based on extensible tools and can be easily incorporated into existing instructional materials.

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Author information

Authors and Affiliations

  1. Department of Economics and Labor Dynamics Institute, Cornell University, Ithaca, NY, USA

    John M. Abowd & Lars Vilhuber

  2. Cornell Institute for Social and Economic Research, Cornell University, Ithaca, NY, USA

    William Block

Authors
  1. John M. Abowd
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  2. Lars Vilhuber
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  3. William Block
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Editor information

Editors and Affiliations

  1. Departament d’Enginyeria Informàtica i Matemàtiques, Universitat Rovira i Virgili UNESCO Chair in Data Privacy, Av. Països Catalans 26, E-43007, Tarragona, Catalonia, Spain

    Josep Domingo-Ferrer

  2. Dipartimento di Ingegneria Elettrica, Elettronica e delle Telecomunicazioni, di tecnologie Chimiche, Automatica e modelli Matematici, Università degli Studi di Palermo, Viale delle Scienze, edificio 9, 90128, Palermo, Italy

    Ilenia Tinnirello

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© 2012 Springer-Verlag Berlin Heidelberg

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Abowd, J.M., Vilhuber, L., Block, W. (2012). A Proposed Solution to the Archiving and Curation of Confidential Scientific Inputs. In: Domingo-Ferrer, J., Tinnirello, I. (eds) Privacy in Statistical Databases. PSD 2012. Lecture Notes in Computer Science, vol 7556. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33627-0_17

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  • DOI: https://doi.org/10.1007/978-3-642-33627-0_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33626-3

  • Online ISBN: 978-3-642-33627-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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