Cross-Border experiments for OpeN data testbedS

Provides a collaborative cross-Border testing framework that works over large amount of open data for optimal access, using holistic methods to classify, identify and access data and utilizes it to support data portability and interoperability.





Additional Info

In EU-USA BONSAI we focus on framework interconnection and testing on new holistic methods for improving capabilities for distributed data characterization, quantification, processing and sharing multi-domain information, enabling portable data services; for this purpose we aim to deploy the mashup builder framework called Super Stream Collider (SSC) a middleware tool developed and maintained by NUIG Ireland. The NUIG SSC mashup builder utilises Linked data to exchange information in an interoperable and reusable way over the Internet for data exchange. Holistic Methods for data characterisation and measuring is a novel approach for data management systems developed in the context of EU-USA NGI-Explorers collaboration program a completed and awarded project in 2020. The EU-USA BONSAI aspires to expands capabilities for supporting further testbed interconnection and data sharing. The experiments to test data sharing and the data processing functions over interconnected testbeds.

Enduser Relevance

EU-USA BONSAI experiment will serve as validation of the next generation of data sharing and exchange services.


Dr. Martin Serrano (National University of Ireland Galway)


Not available yet


This experiment is currently underway.

Country:  Ireland United States

Status: Early research demo

Category: Data and machine learningNetwork infrastructure (including routing, peer-to-peer and virtual private networking)

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