Imagine if all the world's weather, ocean, and land data were stored in different libraries with different languages. This project builds a single digital front door that translates and connects all those libraries into one place. It makes it easy for anyone to find and use complex climate information without needing to be a computer expert.
Environmental data is currently fragmented across different specialized research centers, making it slow and expensive for businesses to get a complete picture of climate risks.
An operational open-access hub with a modular architecture, API libraries, and GUIs for accessing integrated environmental datasets.
If you are a risk assessment firm dealing with unpredictable climate disasters — this project developed a central hub that provides integrated data on Essential Climate Variables. This allows for more accurate risk modeling and faster adaptation strategies.
If you are a tech provider dealing with fragmented soil and atmospheric data — this project developed a modular technical architecture that simplifies cross-domain data access. This helps in creating better crop yield predictions based on interdisciplinary environmental data.
If you are a site planner dealing with inconsistent marine and terrestrial wind data — this project developed a seamless framework for discovering and utilizing data from leading research infrastructures. This reduces the time spent gathering data from multiple sources.
Based on available project data, the hub is designed as an open access platform, though specific commercial pricing models for premium services are not mentioned.
The project is operationalizing the hub and integrating it with the European Open Science Cloud (EOSC) to ensure it can handle large-scale interdisciplinary data and services.
Based on available project data, the project focuses on open access and FAIR data principles, implying a move toward open licensing for environmental data.
The project provides a modular technical architecture and an API library to simplify how users connect to and orchestrate complex data workflows.
The project period runs from 2024-02-01 to 2027-01-31, with deliverables including the first release of GUIs and datasets.
The consortium is heavily weighted toward research and public infrastructure, with 16 research organizations and 2 universities. While industrial participation is low at 5% (1 company), the presence of 21 partners across 11 countries and key ESFRI Landmarks ensures a massive data aggregation capability and high-level institutional backing.
Contact STICHTING EGI in the Netherlands
Contact us to identify specific environmental datasets available via the ENVRI-Hub for your business intelligence needs.
