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Research data connectome technologies

This SWITCH Innovation Lab’s goal is to reveal the current status of best practices from research and industry regarding linked research data.

We live in this world of Big Data, where the more data you have the better the model. If we can find new ways to interconnect different pieces of research data, we can potentially pave the way for groundbreaking research.

Philippe Cudré-Mauroux, eXascale Infolab, University of Fribourg
SWITCH Innovation Lab

This SWITCH Innovation Lab’s goal is to reveal the current status of best practices from research and industry regarding linked research data. The man in charge of the project, Professor Philippe Cudré-Mauroux, is also evaluating possible architectures for implementing the research data connectome vision in Switzerland from the perspective of governance and technology. In future, it should be possible for repositories and the research data they contain to be linked together according to the FAIR Principles (sharing, re-use and cross-domain mix-matching).

Partner: eXascale Infolab at Université de Fribourg
Project Lead: Prof. Philippe Cudré-Mauroux

FAIR data connected for the future

Our vision to connect repositories and the research data they contain: the research data connectome. 

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The research data connectome