Mission

AD4GD is conducting research and implementing FAIR building blocks for the European Green Data Space (GDDS). The project ensures interoperability of Earth observation data through the OGC SensorThings API and semantic enrichment pipelines. AD4GD also enables processing of machine learning data in the cloud and guarantees that the results are findable and securely accessible using the data space protocol implemented in the Eclipse Dataspace Connector. The building blocks are validated in three pilot cases: monitoring water quality and quantity in Berlin lakes, assessing habitat connectivity changes in Catalonia and improving the resolution of CAMS air quality maps with urban citizen science. The results will be transferred to the SAGE project to contribute to the development of the GDDS.

The AD4GD consortium is researching the concept of data space and proposing building blocks that respond to the needs of the GDDS in collaboration with other projects and initiatives as the GREAT, FAIRiCUBE, B3 and USAGE Horizon projects. 

In particular, our activities include:

  • Contributing to the design of a European Green Deal Data Space of interoperable building blocks for heterogeneous data integration, artificial intelligence, Web APIs etc. that allows for multiple existing data models and API standards to be fully integrated by semantic mapping.
  • Ensuring the FAIR integration of Citizen Science with other in-situ Earth observation data and INSPIRE data in the European Green Deal Data Space.
  • Enabling heterogeneous IoT communication protocols and data format integration into a common semantic model for the climate-related, geospatial an environmental European GD Data Space.
  • Combining Earth Observation data from satellites with other sources of data into a common climate-related, geospatial and environmental data space to support the European Green Deal Data Space.
  • Enhancing certainty, quality, and exploitability of heterogeneous data by leveraging on data analytics, machine learning, and Artificial Intelligence.
  • Demonstrating through ourpilots the applicability and added value of data fusion for improved accessibility and decision making in the European Green Deal Data Space domains climate change, zero pollution and biodiversity.
  • Demonstrating the potential of the AD4GD data space concept from the core to the edge to increase the scalability, performance, and convergence of use of high-performance computing, cloud, data, and artificial intelligence resources for Earth system modelling.
  • Upscaling and sustaining the AD4GD concept and a collaborative community to support a highly scalable, comprehensive, and FAIR Green Deal European Data Space for citizens, researchers, policy, and decision makers.

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