Data Science Platform Capabilities are added continuously, according to priorities set by AIDA Data Hub management, in discussion with customers and co-funding communities. Items may be addressed in parallel.
Please feel free to contact us with input to our development priorities.
Priorities
Updated: 2025-03-24
- Object storage available in secure environments, managed in Horizon.
- Object storage available to the outside.
- Self-service data sharing (REMS+SDA).
- Matlab support.
- Automated backups of primary storage for project data.
- Project private remote linux desktop, as primary access interface.
- Windows file sharing access to project storage from secure services (such as CMIVRDP).
- openEHR router / CDR, for approved communication with specified clinical systems.
- Telerad destination, for receiving data from specified clinical imaging modalities.
- DICOM proxy, for approved communication with specified clinical imaging diagnostics systems.
- Orchestration system, e.g. pre-deployed Kubernetes.
- Data interface to allow only authorized project members to import/export data.
- Software-as-a-Service tools and viewers, such as Cytomine, Jupyter notebooks, etc.
- Large language model service to support on-platform code development (such as Llama2)
- Project private PACS service (such as Orthanc)
- Data collection interfaces, such as secure survey tools like Nettskjema.
- Batch job system, to place computation jobs in a queue that is processed as resources become available.
Contacts
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Joel Hedlund Head of AIDA Data Hub Management, Policy support, System design support, Data sharing, Economy |
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Claes Lundström Platform Scientific Director Management |
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Caroline Bivik Stadler AIDA Arena Director Management |
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Erik Ylipää AI Research Support Lead Research support, Management |
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Pontus Freyhult IT Architect System design support, Policy support, Management, System development |