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Research Infrastructure for the Safe Analysis of Sensitive Data

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  • Ian Foster

Abstract

To use administrative and other new data sources for the scientific study of human beings and human behavior, analysts need to be able both to connect to these new data and to deploy new methods for linking and analyzing the data. These efforts are often hindered by legal, technical, and operational difficulties. In this article, I examine how new digital research infrastructures can be used to reduce such barriers. Experiences with data stewardship in other scientific domains shows that appropriate infrastructure can enable the efficient, secure, and collaborative integration of domain expertise, data, and analysis capabilities. I review the state of the art in these areas and argue for the use of cloud-hosted enclaves as a safe interaction point for analysts, data, and software, and as a means of automating and thus professionalizing data stewardship processes.

Suggested Citation

  • Ian Foster, 2018. "Research Infrastructure for the Safe Analysis of Sensitive Data," The ANNALS of the American Academy of Political and Social Science, , vol. 675(1), pages 102-120, January.
    • Handle: RePEc:sae:anname:v:675:y:2018:i:1:p:102-120
    DOI: 10.1177/0002716217742610
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    References listed on IDEAS

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    1. repec:iab:iabfme:201107(en is not listed on IDEAS
    2. Bender, Stefan & Heining, Jörg, 2011. "The Research-Data-Centre in Research-Data-Centre approach : a first step towards decentralised international data sharing," FDZ Methodenreport 201107_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    3. Tanvi Desai & Felix Ritchie & Richard Welpton, 2016. "Five Safes: designing data access for research," Working Papers 20161601, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
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