Please use this identifier to cite or link to this item: http://dx.doi.org/10.18419/opus-14604
Authors: Dellacasa, Chiara
Ortali, Maurizio
Rossi, Elisa
Abu Attieh, Hammam
Osmo, Thomas
Puskaric, Miroslav
Rinaldi, Eugenia
Prasser, Fabian
Stellmach, Caroline
Cataudella, Salvatore
Agarwal, Bhaskar
Mata Naranjo, Juan
Scipione, Gabriella
Title: An innovative technological infrastructure for managing SARS-CoV-2 data across different cohorts in compliance with General Data Protection Regulation
Issue Date: 2024
metadata.ubs.publikation.typ: Zeitschriftenartikel
metadata.ubs.publikation.seiten: 10
metadata.ubs.publikation.source: Digital health 10 (2024), No. 20552076241248922
URI: http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-146237
http://elib.uni-stuttgart.de/handle/11682/14623
http://dx.doi.org/10.18419/opus-14604
ISSN: 2055-2076
Abstract: Background: The ORCHESTRA project, funded by the European Commission, aims to create a pan-European cohort built on existing and new large-scale population cohorts to help rapidly advance the knowledge related to the prevention of the SARS-CoV-2 infection and the management of COVID-19 and its long-term sequelae. The integration and analysis of the very heterogeneous health data pose the challenge of building an innovative technological infrastructure as the foundation of a dedicated framework for data management that should address the regulatory requirements such as the General Data Protection Regulation (GDPR). Methods: The three participating Supercomputing European Centres (CINECA - Italy, CINES - France and HLRS - Germany) designed and deployed a dedicated infrastructure to fulfil the functional requirements for data management to ensure sensitive biomedical data confidentiality/privacy, integrity, and security. Besides the technological issues, many methodological aspects have been considered: Berlin Institute of Health (BIH), Charité provided its expertise both for data protection, information security, and data harmonisation/standardisation. Results: The resulting infrastructure is based on a multi-layer approach that integrates several security measures to ensure data protection. A centralised Data Collection Platform has been established in the Italian National Hub while, for the use cases in which data sharing is not possible due to privacy restrictions, a distributed approach for Federated Analysis has been considered. A Data Portal is available as a centralised point of access for non-sensitive data and results, according to findability, accessibility, interoperability, and reusability (FAIR) data principles. This technological infrastructure has been used to support significative data exchange between population cohorts and to publish important scientific results related to SARS-CoV-2. Conclusions: Considering the increasing demand for data usage in accordance with the requirements of the GDPR regulations, the experience gained in the project and the infrastructure released for the ORCHESTRA project can act as a model to manage future public health threats. Other projects could benefit from the results achieved by ORCHESTRA by building upon the available standardisation of variables, design of the architecture, and process used for GDPR compliance.
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