Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1007/978-3-642-33627-0_17guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article

A proposed solution to the archiving and curation of confidential scientific inputs

Published: 26 September 2012 Publication History
  • Get Citation Alerts
  • 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.

    References

    [1]
    Abowd, J.M., Gittings, K., McKinney, K.L., Stephens, B.E., Vilhuber, L., Woodcock, S.: Dynamically consistent noise infusion and partially synthetic data as confidentiality protection measures for related time-series. Technical report, Federal Committee on Statistical Methodology (January 2012).
    [2]
    Abowd, J.M., Stephens, B.E., Vilhuber, L., Andersson, F., McKinney, K.L., Roemer, M., Woodcock, S.D.: The LEHD infrastructure files and the creation of the Quarterly Workforce Indicators. In: Dunne, T., Brad Jensen, J., Roberts, M.J. (eds.) University of Chicago Press (2009).
    [3]
    Abowd, J.M., Vilhuber, L.: Synthetic data server (2010).
    [4]
    Blank, G., Rasmussen, K.: The Data Documentation Initiative: The value and significance of a worldwide standard. Social Science Computer Review 22(3), 307- 318 (2004).
    [5]
    Bujnowska, A.: European regulations and current changes. Presentation, First Data without Boundaries European Data Access Forum (March 2012).
    [6]
    Davis, S.J., Haltiwanger, J.C., Schuh, S.: Job Creation and Destruction. MIT Press, Cambridge (1996).
    [7]
    Dunne, T., Roberts, M.J., Samuelson, L.: The Growth and Failure of U.S. Manufacturing Plants 104(4), 671-698 (1989).
    [8]
    Gregory, A., Heus, P.: DDI and SDMX: Complementary, not competing, standards. Paper, Open Data Foundation (July 2007).
    [9]
    Haltiwanger, J., Jarmin, R.S., Miranda, J.: Who creates jobs? Small vs. large vs. young. Working Papers 10-17, Center for Economic Studies, U.S. Census Bureau (August 2010).
    [10]
    Hense, A., Quadt, F.: Acquiring high quality research data. D-Lib Magazine-the Magazine of Digital Library Research 17 (2011).
    [11]
    Huberman, B.A.: Sociology of science: Big data deserve a bigger audience. Nature 482(7385), 308-308 (2012).
    [12]
    King, G.: Replication, replication. PS: Political Science and Politics 28(3), 444-452 (1995).
    [13]
    Kinney, S.K., Reiter, J.P., Reznek, A.P., Miranda, J., Jarmin, R.S., Abowd, J.M.: Towards unrestricted public use business microdata: The synthetic longitudinal business database. International Statistical Review 79(3), 362-384 (2011).
    [14]
    Lunati, M.: Oecd expert group for international collaboration on microdata access. Presentation, First Data without Boundaries European Data Access Forum (March 2012).
    [15]
    Machanavajjhala, A., Kifer, D., Abowd, J.M., Gehrke, J., Vilhuber, L.: Privacy: Theory meets practice on the map. In: International Conference on Data Engineering, ICDE (2008) (in press).
    [16]
    Steven Olley, G., Pakes, A.: The dynamics of productivity in the telecommunications equipment industry. Econometrica 64(6), 1263-1297 (1996).
    [17]
    Ruggles, S.: Comparability of the public use files of the U.S. Census of Population, 1880-1980. Social Science History 15(1), 123-158 (1991).
    [18]
    The Royal Society. Science as an open enterprise: Open data for open science. report 02/12, The Royal Society Science Policy Centre (2012).

    Cited By

    View all
    • (2014)CED2ARProceedings of the 14th ACM/IEEE-CS Joint Conference on Digital Libraries10.5555/2740769.2740815(267-276)Online publication date: 8-Sep-2014

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image Guide Proceedings
    PSD'12: Proceedings of the 2012 international conference on Privacy in Statistical Databases
    September 2012
    364 pages
    ISBN:9783642336263
    • Editors:
    • Josep Domingo-Ferrer,
    • Ilenia Tinnirello

    Sponsors

    • UCDP: The UNESCO Chair in Data Privacy

    Publisher

    Springer-Verlag

    Berlin, Heidelberg

    Publication History

    Published: 26 September 2012

    Author Tags

    1. data archive
    2. data curation
    3. privacy-preserving datamining
    4. statistical disclosure limitation

    Qualifiers

    • Article

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)0
    • Downloads (Last 6 weeks)0

    Other Metrics

    Citations

    Cited By

    View all
    • (2014)CED2ARProceedings of the 14th ACM/IEEE-CS Joint Conference on Digital Libraries10.5555/2740769.2740815(267-276)Online publication date: 8-Sep-2014

    View Options

    View options

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media