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

Personalized health SPHN confidential data data privacy data security federated computation health-related data interoperability private-cloud research infrastructure scientific IT services sensitive data service virtualization

Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
16 Jun 2020
Historique:
entrez: 24 6 2020
pubmed: 24 6 2020
medline: 20 8 2020
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 32570566
pii: SHTI200348
doi: 10.3233/SHTI200348
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1170-1174

Investigateurs

Leila T Alexander (LT)
Jonathan Barda (J)
Christian Bolliger (C)
Urban Borstnik (U)
Gerhard Bräunlich (G)
Olivier Byrde (O)
Jérôme Dauvillier (J)
Robin Engler (R)
Pablo Escobar Lopez (P)
Volker Flegel (V)
Martin Fox (M)
Sofia Georgakopoulou (S)
Jani Heikkinen (J)
Martin Jacquot (M)
Nicolas Kowenski (N)
Guillermo Losilla (G)
Sergio Maffioletti (S)
Jorge Molina (J)
Diego Moreno (D)
Allen Neeser (A)
Michal Okoniewski (M)
Warren Paulus (W)
Kevin Sayers (K)
Torsten Schwede (T)
Jaroslaw Surkont (J)
Richard Wartenburger (R)
Thomas Wüst (T)

Auteurs

Diana Coman Schmid (D)

ETH Zurich, Switzerland.
SIB Swiss Institute of Bioinformatics, Switzerland.

Katrin Crameri (K)

SIB Swiss Institute of Bioinformatics, Switzerland.

Sabine Oesterle (S)

SIB Swiss Institute of Bioinformatics, Switzerland.

Bernd Rinn (B)

ETH Zurich, Switzerland.
SIB Swiss Institute of Bioinformatics, Switzerland.

Thierry Sengstag (T)

University of Basel, Switzerland.
SIB Swiss Institute of Bioinformatics, Switzerland.

Heinz Stockinger (H)

SIB Swiss Institute of Bioinformatics, Switzerland.

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Classifications MeSH