SPHN – The BioMedIT Network: A Secure IT Platform for Research with Sensitive Human Data

Open access
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Date
2020-06-16Type
- Conference Paper
Citations
Cited 7 times in
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Cited 13 times in
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Abstract
The BioMedIT project is funded by the Swiss government as an integral part of the Swiss Personalized Health Network (SPHN), aiming to provide researchers with access to a secure, powerful and versatile IT infrastructure for doing data-driven research on sensitive biomedical data while ensuring data privacy protection. The BioMedIT network gives researchers the ability to securely transfer, store, manage and process sensitive research data. The underlying BioMedIT nodes provide compute and storage capacity that can be used locally or through a federated environment. The network operates under a common Information Security Policy using state-of-the-art security techniques. It utilizes cloud computing, virtualization, compute accelerators (GPUs), big data storage as well as federation technologies to lower computational boundaries for researchers and to guarantee that sensitive data can be processed in a secure and lawful way. Building on existing expertise and research infrastructure at the partnering Swiss institutions, the BioMedIT network establishes a competitive Swiss private-cloud – a secure national infrastructure resource that can be used by researchers of Swiss universities, hospitals and other research institutions. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000424360Publication status
publishedExternal links
Editor
Book title
Digital Personalized Health and MedicineJournal / series
Studies in Health Technology and InformaticsVolume
Pages / Article No.
Publisher
IOS PressEvent
Subject
Personalized health; SPHN; Research infrastructure; Scientific IT services; Federated computation; Sensitive data; Confidential data; Data privacy; Data security; Health-related data; Interoperability; Private-cloud; Service virtualizationNotes
Authors on behalf of the BioMedIT network team. Conference cancelled due to Corona virus (COVID-19).More
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Citations
Cited 7 times in
Web of Science
Cited 13 times in
Scopus
ETH Bibliography
yes
Altmetrics