Analys och lagring av känsliga uppgifter, bioinformatik och datastöd
National Bioinformatics Infrastructure Sweden (NBIS), ELIXIR
A distributed national research infrastructure for bioinformatics.
Swedish National Infrastructure for Computing (SNIC), including PRACE and NeIC
A national infrastructure for high-performance computing, led by UU. Includes Partnership for Advanced Computing in Europe (PRACE) and Nordic e-Infrastructure Collaboration (NeIC).
Swedish National Data Service (SND)
A national infrastructure for guidance and metadata presentation of Swedish data for clinical research. A node for sensitive data at Uppsala University.
A national infrastructure for the storage and analysis of sensitive data, hosted by UU.
Vesta (GDPR compatible for sensitive data)
A local research infrastructure for storage and analysis of sensitive data.
SciLifeLab Data Centre
En nationell infrastrukturanläggning i Uppsala som tillhandahåller datastöd på nationell nivå.
NBIS (National Bioinformatics Infrastructure Sweden) is a distributed national research infrastructure supported by the Swedish Research Council (Vetenskapsrådet), the Science for Life Laboratory, all major Swedish universities and the Knut and Alice Wallenberg Foundation, providing state-of-the-art bioinformatics to the Swedish life sciences research community. NBIS is also the Swedish contact point for the European infrastructure for biological information ELIXIR.
SNIC and SNIC-SENS are national resources for high-performance computing, the latter under the legislation of the GDPR. SND and the Uppsala University Data Office provide guidance on how to access, analyse and store data.
The SciLifeLab Data Centre in Uppsala provides the SciLifeLab platforms with services for IT and data management. They also work to facilitate communication between the SciLifeLab platforms, their users and the research community, and develop databases and tools.
The Uppsala University Data Office works with research data management. AI4Resarch is a five-year project tasked with strengthening, renewing and developing research in artificial intelligence (AI) and machine learning, with a clear mandate to be a resource for the entire university.