Work

Making Geospatial Data Assets Discoverable and Accessible in the Green Deal Data Space

Year: 2025

Type: article

Abstract: . A Data Space is a distributed system defined by a governance framework that enables secure and trustworthy data transactions between participants. The architecture of a data space is defined by the data space protocol and composed by several building blocks. Metadata catalogues are a fundamental building block that provides discoverability and the Data Space Connectors provide accessibility. This paper proposes an approach for the combination of geospatial standards for data discovery and the data space protocol and describes a practical implementation in the context of the AD4GD project. The presented architecture provides access to internal users via a SaaS cloud based on MinIO for data storage, GeoNetwork for data discovery, and Docker for data processing. This infrastructure constitutes an experimental data space node provided by the All Data for the Green Deal (AD4GD) project. The AD4GD project is conducting research and development for a future Green Deal Data Space.

Source: AGILE GIScience Series

DOI: 10.5194/agile-giss-6-38-2025

Authors: Joan Maso, Alba Brobia, Raul Palma, Ignacio Elicegui

Institutions: Centre for Research on Ecology and Forestry Applications, Poznan Supercomputing and Networking Center, Atos (Spain)

Language: English

Topic: Geographic Information Systems Studies

Subfield: Geography, Planning and Development

Field: Social Sciences

Domain: Social Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: diamond

Funders: European Commission, HORIZON EUROPE Framework Programme