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SPHN - The BioMedIT Network: A Secure IT Platform for Research with Sensitive Human Data.
Coman Schmid, Diana; Crameri, Katrin; Oesterle, Sabine; Rinn, Bernd; Sengstag, Thierry; Stockinger, Heinz.
Afiliación
  • Coman Schmid D; ETH Zurich, Switzerland.
  • Crameri K; SIB Swiss Institute of Bioinformatics, Switzerland.
  • Oesterle S; SIB Swiss Institute of Bioinformatics, Switzerland.
  • Rinn B; SIB Swiss Institute of Bioinformatics, Switzerland.
  • Sengstag T; ETH Zurich, Switzerland.
  • Stockinger H; SIB Swiss Institute of Bioinformatics, Switzerland.
Stud Health Technol Inform ; 270: 1170-1174, 2020 Jun 16.
Article en En | MEDLINE | ID: mdl-32570566
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Almacenamiento y Recuperación de la Información Tipo de estudio: Diagnostic_studies Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2020 Tipo del documento: Article País de afiliación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Almacenamiento y Recuperación de la Información Tipo de estudio: Diagnostic_studies Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2020 Tipo del documento: Article País de afiliación: Suiza
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