Our data science platform offers a home for your research. Our customers include researchers, industry, caregivers and user communities of national significance.
Features
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Data Science Platform: Computable long term primary storage, supporting advanced usage patterns including data collection, collaboration, visualization, enrichment, annotation, AI training, and federated analysis.
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Close to flagship compute: Easy access from large scale national/European compute resources when extreme needs of computation arise.
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Sensitive Data Services: Suitable for research on large amounts of data of extreme confidentiality including biomedical personal data.
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Customizable security: The “closed by default and openable as needed” service model lets customers choose a security level appropriate for their processing, to adequately protect the data subjects, while allowing the flexibility necessary for effectively carrying out the planned activities, without affecting other users.
An annual membership fee provides base service and optional services, and ability to procure add-on services. The services are described below.
Contact
Our system design team:
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Pontus Freyhult IT Architect System design support, Policy support, Management, System development |
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Joel Hedlund Head of AIDA Data Hub Management, Policy support, System design support, Data sharing, Economy |
Please contact us for support or more information!
Base service
| Audience: | Everyone |
| Cost: | Please visit Prices |
| Status: | Planned. |
Includes:
- Up to 2 TB private storage quota (no backup) accessible through e.g. Windows file sharing.
- Multifactor login using Life Science Login and your home organization account.
- Access to shared datasets on approval.
- Customer separation. You cannot see other customers, and they cannot see you.
- Customizable security, make security decisions appropriate for your project (e.g. allow connecting to home institution secure servers, collaborators, …).
- Self-service dashboard and service launcher.
- Sensitive Data Services:
- SD Desktop (optional)
- SD Inbox
- SD Outbox
- SD Apply - REMS
- SD Telerad (optional)
- SD openEHR (optional)
Optional services
SD Desktop
| Audience: | Everyone |
| Cost: | Included in base service. |
| Status: | Planned. |
Receive DICOM images via telerad from specified scanners.
SD Telerad
| Audience: | Customers receiving scans from medical imaging modalities. |
| Cost: | Included in base service |
| Status: | Planned. |
Receive DICOM images via telerad from specified scanners.
SD openEHR
| Audience: | Customers receiving openEHR data. |
| Cost: | Included in base service. |
| Status: | Planned. |
Receive openEHR data from specified sources.
Add-on services
SD Large storage
| Audience: | Large scale data users. |
| Cost: | Please visit Prices |
| Status: | Planned. |
Larger storage (no backup) than what is included in Basic service.
SD Primary storage
| Audience: | Customers using AIDA Data Hub for primary storage of data. |
| Cost: | Please visit Prices |
| Status: | Planned. |
Storage with backups, guarding against disaster and (some) user error.
SD Infrastructure as a service
| Audience: | AI- and data scientists, and systems development experts. |
| Cost: | Depends on flavor, please visit Prices |
| Status: | Planned. |
Multi-factor authenticated SSH connection to private self-managed virtual machines.
Variants:
- CPU compute
- GPU compute
- SLURM Cluster
- Kubernetes pod
SD Software as a service
| Audience: | AI- and data scientists, and systems development experts. |
| Cost: | Depends on flavor, please visit Prices |
| Status: | Planned. |
Secure access to popular web service tools for data analysis.
SD Jupyter notebook
| Audience: | Researchers. |
| Status: | Planned. |
Web-based interactive computing platform. Combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
SD Cytomine server
| Audience: | Pathologists and researchers. |
| Status: | Planned. |
Open-source web platform for collaborative analysis of very large pathology images and image collections together with machine learning algorithms.