Case Study

University of Edinburgh Performance Report

A rapidly increasing number of fields in fundamental science are generating large datasets for their research, and questions around the availability of this data on the long term are becoming more and more critical.

Emerging decentralized technologies, where data is fragmented and distributed across a globally diverse network of nodes, are appealing to address the aforementioned challenges. Indeed, they can, in principle, allow for a much higher redundancy and geographical spread of the data, allowing strong resilience and wide availability compared to traditional, centralized infrastructures.

Find out more in this third-party report from Dr. Antonin Portelli from the University of Edinburgh.

Read the Case Study

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