All Data 4 Green Deal

An Integrated, FAIR Approach for the Common European Data Space

Mission & Objectives

AD4GD’s mission is to co-create and shape the European Green Deal Data Space as an open hub for FAIR data and standards-based services that support the key priorities of pollution, biodiversity and climate change. The focus will be on interoperability concepts that bridge the semantic and technology gaps which currently prevent stakeholders and application domains from multi-disciplinary and multi-scale access to data, and which impede the exploitation of processing services, and processing platforms at different levels including Cloud, HPC and edge computing.

This project will enable the combination and integration of data from remote sensing, established Virtual Research Environments and Research Infrastructures, Internet of Things (IoT), socio-economic data, INSPIRE and Citizen Science (CitSci) in an interoperable, scalable and reliable manner. This will facilitate integration by including semantic mappings to different standards and dominant models bridging domain- and data source-specific semantic concepts such as the Essential Variables framework, as well as applying machine learning and geospatial user feedback to ensure quality, reliability and trustworthiness of data and transforming spatial scales.

AllData4GreenDeal’s concept
AllData4GreenDeal’s concept for the common European Green Deal Data Space.

The AD4GD project aims to:

  • Co-design a Green Deal common Data Space of interoperable building blocks for heterogeneous data integration, artificial intelligence, Web APIs etc. allowing multiple existing data models and API standards to be fully integrated by semantic mapping.
  • Ensure the FAIR integration of CitSci with other in-situ Earth observation data and INSPIRE data in the European Green Deal Data Space.
  • Enable heterogeneous IoT communication protocols and data format integration into a common semantic model for the climate-related, geospatial an environmental European GD Data Space.
  • Overcome data fragmentation by 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 GD Data Space.
  • Enhance certainty, quality, and exploitability of heterogeneous data by leveraging on data analytics, machine learning, and Artificial Intelligence.
  • Demonstrate through multi-scale, multi-criteria and multi-actor pilots 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.
  • Research and demonstrate 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.
  • Upscale and sustain 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.

Pilots

AD4GD will demonstrate through multi-scale, multi-criteria and multi-actor pilots the applicability and added value of data fusion for improved accessibility and decision making in the European Green Deal Data Space by focussing on the key priority areas of zero pollution, biodiversity and climate change.

Water pollution

Water pollution

Berlin’s small lakes are ecological hotspots at risk due to various climate and urban stressors. In addition, they also suffer from a lack of information on their condition. In this pilot we are developing water quality and availability indicators to improve decision-making by integrating IoT sensor data with satellite and citizen science data.

Biodiversity

Biodiversity

The project will establish key locations for landscape functional connectivity and endangered species persistence by explicitly combining and cross-validating the results from different accepted modelling approaches.

Climate Change

Climate Change

The project will acquire new in situ observation streams and develop solutions to make them interoperable in order to unlock their possible use in future CO2 and greenhouse gas emissions integrated monitoring information to support stakeholders at all scales.

Partners

The AD4GD consortium involves 12 partners that comprise Universities, Research Institutes, SMEs, Governmental bodies, public research centers and non-profit organization with a membership structure of international outreach.

Centre de Recerca Ecològica i Aplicacions Forestals

CREAF

Centre de Recerca Ecològica i Aplicacions Forestals

COORDINATOR

Open Geospatial Consortium Europe<br />

OGC

Open Geospatial Consortium Europe

BENEFICIARY

European Centre for Medium-Range Weather Forecasts<br />

ECMWF

European Centre for Medium-Range Weather Forecasts

BENEFICIARY

FIT - Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V.

FIT

Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V.

BENEFICIARY

KWB - Kompetenzzentrum Wasser Berlin

KWB

Kompetenzzentrum Wasser Berlin

BENEFICIARY

ATOS - ATOS IT Solutions and Services Iberia SL

ATOS

ATOS IT Solutions and Services Iberia SL

BENEFICIARY

ECCP - European Centre for Certification and Privacy

ECCP

European Centre for Certification and Privacy

BENEFICIARY

PSNC - Instytut Chemii Bioorganicznej Polskiej Akademii Nauk

PSNC

Instytut Chemii Bioorganicznej Polskiej Akademii Nauk

BENEFICIARY

MANDINT - Mandat International

MI

Mandat International

ASSOCIATED PARTNER

DT - Design Terminal

DT

Design Terminal

BENEFICIARY

IOT - IoT Lab

ITL

IoT Lab

ASSOCIATED PARTNER

AU - Aston University

AU

Aston University

ASSOCIATED PARTNER

Contact

CREAF – Centre de Recerca Ecològica i Aplicacions Forestals
Campus de Bellaterra (UAB) Edifici C, 08193 Cerdanyola del Vallès, SPAIN

info@ad4gd.eu
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