Universität zu Köln

Jakob, Carolin E. M., Kohlmayer, Florian, Meurers, Thierry ORCID: 0000-0001-8168-7067, Vehreschild, Jorg Janne and Prasser, Fabian (2020). Design and evaluation of a data anonymization pipeline to promote Open Science on COVID-19. Sci. Data, 7 (1). BERLIN: NATURE RESEARCH. ISSN 2052-4463

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Abstract

The Lean European Open Survey on SARS-CoV-2 Infected Patients (LEOSS) is a European registry for studying the epidemiology and clinical course of COVID-19. To support evidence-generation at the rapid pace required in a pandemic, LEOSS follows an Open Science approach, making data available to the public in real-time. To protect patient privacy, quantitative anonymization procedures are used to protect the continuously published data stream consisting of 16 variables on the course and therapy of COVID-19 from singling out, inference and linkage attacks. We investigated the bias introduced by this process and found that it has very little impact on the quality of output data. Current laws do not specify requirements for the application of formal anonymization methods, there is a lack of guidelines with clear recommendations and few real-world applications of quantitative anonymization procedures have been described in the literature. We therefore believe that our work can help others with developing urgently needed anonymization pipelines for their projects.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Jakob, Carolin E. M. UNSPECIFIED UNSPECIFIED UNSPECIFIED Kohlmayer, Florian UNSPECIFIED UNSPECIFIED UNSPECIFIED Meurers, Thierry UNSPECIFIED orcid.org/0000-0001-8168-7067 UNSPECIFIED Vehreschild, Jorg Janne UNSPECIFIED UNSPECIFIED UNSPECIFIED Prasser, Fabian UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-308372
DOI:	10.1038/s41597-020-00773-y
Journal or Publication Title:	Sci. Data
Volume:	7
Number:	1
Date:	2020
Publisher:	NATURE RESEARCH
Place of Publication:	BERLIN
ISSN:	2052-4463
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language Multidisciplinary Sciences Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/30837