The Green Deal Data Space Foundation and its Community of Practice

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GREAT is tasked to establish the Green Deal Data Space (GDDS) foundation & Community of Practice that are the prerequisite for its future implementation, evolving existing data ecosystems into an integrated system with the involvement of an expanding cross-sectoral pan-European network. The framework that GREAT will implement includes 5 pillars: 1.The Minimum Viable GDDS defining an expandable core set of high value datasets for the first implementation phase of the data ecosystem federation. 2.The reference blueprint of the technical architecture setting the data & service technical interoperability framework & defining the common services enabling federated discovery, access, processing & reuse of data. 3. An open & inclusive multi-stakeholder governance scheme defining federation business processes, roles, policies & the trust framework. 4.The roadmap defining the future implementation & capacity building steps during 2024-2027. 5. An open pan-European Community of Practice of data providers, users & intermediaries from industry, public administration, & research communities participating in all phases from co-design to implementation. The design of the GDDS framework incorporates these 5 elements & is driven by the requirements of use cases that address the following 3 Green Deal actions: 2030 Biodiversity strategy, Zero-pollution Action Plan & Climate Change Adaptation Strategy. GREAT builds on the strengths of a consortium of 11 partners & 3 affiliated entities with direct links to +1000 stakeholders & +100 initiatives operating at national & international level. The network of stakeholders directly connected with the consortium spans across multiple sectors (e.g., Land, Ocean & Maritime, Atmosphere & Climate, Disasters Geohazards Emergency, Security & Safety & Built Environments) The Consortium brings expertise in data governance, distributed data infrastructure design, large-scale system integration, data value chains, stakeholder engagement.