Imagine trying to solve a puzzle where the pieces are scattered across different libraries and written in different languages. This project builds a single digital doorway and a shared workbench where scientists can find and analyze all that scattered environmental data in one place. It turns a messy search process into a streamlined digital laboratory.
Environmental data is currently trapped in separate, domain-specific silos. This makes it difficult and time-consuming for businesses to combine satellite, in-situ, and model data for integrated analysis.
A data discovery and access service, an Earth Analytics Lab for remote processing, and an operational data lake for multidisciplinary environmental data.
If you are an agri-tech software provider dealing with fragmented satellite and soil data — this project developed a data discovery and access service that allows for integrated use of multidisciplinary environmental data to improve crop productivity.
If you are a climate risk assessment firm dealing with slow data processing from multiple sources — this project developed an Earth Analytics Lab that provides remote analysis and visualization to reduce the time to results.
If you are an insurance provider dealing with inconsistent environmental monitoring data — this project developed an operational data lake that enables better validation of climate-related claims through aggregated data-sets.
Based on available project data, the project is funded by a EUR 4,738,125 EU contribution, but specific commercial pricing for the resulting services is not listed.
The project includes the deployment of an operational version of the data lake (D4.5), suggesting it is moving toward industrial-scale availability.
Based on available project data, the project focuses on Open Science and the European Open Science Cloud, implying a focus on open access rather than proprietary licensing.
The system is designed for EOSC connectivity and integrates data from a range of European data infrastructures through a unified discovery and access service.
The project period runs from 2022-09-01 to 2025-08-31, with operational versions of the data lake scheduled as deliverables.
The consortium is heavily research-oriented with 17 research organizations and 4 universities, but it maintains a significant industrial footprint with 6 industry partners (22% ratio), including 5 SMEs. This balance suggests the technology is being developed with a clear eye toward practical application and commercial viability across 9 different countries.
Contact CNRS (France) regarding the FAIR-EASE infrastructure
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