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Huge at RISE – From experimental data to actionable insights

Huge at RISE helps transform data from beamline experiments into actionable knowledge. Through secure and automated data transfer, protected storage and advanced analysis, we help researchers and companies interpret complex datasets and generate insights that support materials development, research and innovation.

Service details

Service
Huge at RISE – Secure data management and analysis for beamline experiments
Price
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Petri Luomala

Projektledare
+46 10 516 58 43 Read more about Petri

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Purpose and benifits

The service bridges the gap between experiments at large-scale research infrastructures and the knowledge needed to support research, development and innovation.

From experiment to insight

Beamline experiments generate large volumes of complex data. Huge at RISE is designed to help organisations turn this data into knowledge that supports research, development and innovation. Turning experimental data into useful insights requires both robust digital infrastructure and advanced analytical expertise. With Huge at RISE, data is securely transferred from the beamline to a protected environment where it can be stored, processed and analysed using tailored tools and workflows.

By combining digital infrastructure, data analytics and expertise in materials science, AI and data interpretation, RISE helps transform experimental data into results that support informed decisions in research and product development.

Method

The service combines secure data management, automated analysis workflows and expert support from RISE. Experimental data is transferred from the beamline to a protected environment where it can be stored, processed and analysed using tailored tools and methods. The results are interpreted in collaboration with RISE experts in materials science, AI and data analytics.

Deliverables

The scope of delivery is tailored to the organisation’s needs and may include secure data management, analysed results, reports and decision-support documentation, as well as expert support to transform data into knowledge that supports research, development and innovation.