The first interdomain digital architecture for integrated use of environmental data

Once identified, data must be easily and efficiently accessible.

Our project evaluated different technologies to improve data access from both sides: client and server. This work laid the foundation for more data-sharing across different platforms and disciplines.

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Data alone is not enough—it must be transformed into insights.

The Earth Analytics Lab (EAL) we designed empowers researchers to work with large and complex datasets by providing the tools and frameworks necessary for analysing, visualising, and interpreting data. We sought to promote existing solutions by extending their initial scope, where possible, to the use of data from all compartments of the Earth system.

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FAIR-EASE tested the developed tools and services in five real-world scenarios to demonstrate their usefulness and relevance.

This step ensures that the innovations developed are applicable and beneficial to scientists, policymakers, and stakeholders.

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Aligning with the Findable, Accessible, Interoperable, and Reusable (FAIR) principles, our project supported the development of best practices and technical frameworks that will shape the next generation of open and reusable Earth science data services.

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