Imagine a giant digital library for a city where every sensor, satellite, and citizen report is filed in the same way. Instead of data being locked in different private folders, it's all shared in a way that anyone can actually use. It's like turning a messy pile of city notes into a clear, searchable map for making a city greener.
Cities struggle to combine fragmented environmental data from satellites, sensors, and citizens. This makes it difficult to analyze climate impact and meet Green Deal targets.
A decentralized infrastructure for data exchange and a summary of tools used to acquire and process urban data for Green Deal actions.
If you are a consultancy dealing with fragmented city climate data — this project developed AI-based tools and data analytics that allow you to combine Earth Observation and IoT data for better policy analysis.
If you are a manufacturer dealing with data silos — this project developed a decentralized infrastructure that ensures your device data follows FAIR principles for easier exchange and reuse.
If you are a city agency dealing with European Green Deal reporting — this project developed governance mechanisms to collect and process data from 4 diverse pilot areas to support priority climate actions.
Based on available project data, there is no specific pricing mentioned; the project received an EU contribution of EUR 3,692,800 for development.
The solutions are being validated in 4 diverse pilot areas across 4 different countries to ensure they can be reused in other urban areas.
Based on available project data, the project focuses on FAIR principles (Findable, Accessible, Interoperable, Reusable) for data, but specific licensing terms are not listed.
It leverages standards for data and service interoperability to combine data from Earth Observation, IoT, and crowd sources.
The project period runs from 2022-08-01 to 2025-07-31, with a long-term sustainability plan being developed.
The consortium is heavily weighted toward practical application, with 6 industry partners (including 5 SMEs) representing a 46% industry ratio. This balance between 2 universities, 1 research center, and 4 other entities across 5 countries suggests a strong focus on translating technical data standards into usable business tools.
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