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A queue-poll extension and DataSHIELD: Standardised, monitored, indirect and secure access to sensitive data

Gründner J, Prokosch HU, Schindler S, Lenz S, Binder H (2019)

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Publication Type: Conference contribution

Publication year: 2019

Journal

Publisher: IOS Press

City/Town: Amsterdam

Book Volume: 258

Pages Range: 115-119

Conference Proceedings Title: Proceedings of the EFMI 2019 Special Topic Conference

DOI: 10.3233/978-1-61499-959-1-115

Abstract

Analyzing data across hospitals and institutions without the data leaving the hospitals and adding institutions to a trusted network is an important part of privacy preserving data analysis. This work implements a queue-poll extension and integrates with DataSHIELD to allow for a standardized, monitored, indirect and secure access to data. The extension was created using the HTTP protocol and requests are not pushed into a participating institution but are sent to a server outside an institutional network. These requests are then pulled into the institution from within, executed and the response sent back to the outside server, which relays the request back to the request sender. We found that the requests were slower than a direct push request, but also that the integration of new institutions into the network was easily achieved. We propose that future work should focus on optimizing the monitoring and speed of the service. The service created here could reduce the barriers to entry for institutions to form an analysis network and can be used not only to drive analysis but also the sharing of resulting information and models.

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How to cite

APA:

Gründner, J., Prokosch, H.-U., Schindler, S., Lenz, S., & Binder, H. (2019). A queue-poll extension and DataSHIELD: Standardised, monitored, indirect and secure access to sensitive data. In Amnon Shabo, Inge Madsen, Thomas M. Deserno, Matthias Lobe, Kristiina Hayrinen, Hans-Ulrich Prokosch, Fernando Martin-Sanchez, Klaus-Hendrik Wolf (Eds.), Proceedings of the EFMI 2019 Special Topic Conference (pp. 115-119). Amsterdam: IOS Press.

MLA:

Gründner, Julian, et al. "A queue-poll extension and DataSHIELD: Standardised, monitored, indirect and secure access to sensitive data." Proceedings of the Proceedings of the EFMI 2019 Special Topic Conference Ed. Amnon Shabo, Inge Madsen, Thomas M. Deserno, Matthias Lobe, Kristiina Hayrinen, Hans-Ulrich Prokosch, Fernando Martin-Sanchez, Klaus-Hendrik Wolf, Amsterdam: IOS Press, 2019. 115-119.

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