Can external researchers collaborate with VIKING?
Yes. VIKING is open to collaboration with research groups whose proposed work fits within the project’s scientific aims and regulatory framework. Relevant areas include AI-based clinical decision support, validation of algorithms, clinical neurophysiology methods, data quality, standardisation, interoperability and responsible reuse of large multicentre datasets.
Can industry partners collaborate?
Yes, when the collaboration is scientifically relevant to the project's aims. Industry collaboration may be relevant for AI-CDSS development, technical validation, infrastructure, annotation tools, signal processing, quality control, data standards or federated learning. Such collaborations require clear governance, transparency, institutional agreements and alignment with the project’s approved research scope.
Can VIKING data be downloaded?
VIKING data are not available as open public downloads. The project works with sensitive health data, including large-scale time-series data from EEG, PSG, EMG and NCS. Access must therefore take place through controlled mechanisms; contact us to discuss your project.
What types of data can potentially be reused?
Depending on the project and approvals, controlled reuse may include raw or processed neurophysiological time-series data, derived signal features, structured metadata, annotations, reports or quality-control outputs. The exact data available will depend on modality, hospital source, data processing status, consent/legal basis and the approved research question.
Can registry-derived data be shared?
No. Registry-derived data are not shared with external projects. Such data may only be used within the approved VIKING regulatory framework when permitted by the relevant approvals, agreements and data protection requirements.
Do new projects need separate ethical approval?
If the project aim is too different from VIKING's scope, controlled reuse by a separate project will normally require its own ethical approval from the appropriate Norwegian ethics board, in addition to institutional agreements and data protection review. VIKING can discuss whether a proposed project fits within existing approvals or whether a separate approval pathway is required.
Is VIKING working on anonymized or federated access models?
Yes. VIKING is exploring methods for robust anonymization of large neurophysiological time-series datasets, as well as approaches that allow models to be trained or evaluated without moving sensitive data unnecessarily. This includes work toward controlled sharing of anonymized datasets and participation in federated learning networks.
What should I include in a contact request?
Please include your institution, basic project idea, intended data use, modality of interest, whether you are requesting collaboration or data reuse, relevant funding or approval status, and whether the work involves academic, clinical, technical or industry partners. We will not disclose your idea to anyone outside the team, but can sign an NDA if asked.
