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

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.

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Publication Details

Journal
AGILE GIScience Series
Published
2025-06-09
DOI
https://doi.org/10.5194/agile-giss-6-38-2025
Citations
1
Primary Topic
Big Data Technologies and Applications
Type
article
Field-Weighted Citation Impact
4.17

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article

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

Raúl Palma, Alba Brobia, Ignacio Elicegui, Joan Masó
1 citations
AGILE GIScience Series
Big Data Technologies and Applications
4.17
article

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

Raúl Palma, Alba Brobia, Ignacio Elicegui, Joan Masó
article en
1 citations

Abstract

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.

AGILE GIScience SeriesVol. 6
Atos (Spain) (ES), Poznan Supercomputing and Networking Center (PL), Centre for Research on Ecology and Forestry Applications (ES)
European Commission, HORIZON EUROPE Framework Programme
Openalex Percentile: Top 6%
Big Data Technologies and Applications
4.17
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Making Geospatial Data Assets Discoverable and Accessible in the Green Deal Data Space — Raúl Palma, Alba Brobia, et al. · AGILE GIScience Series (2025) | TGRS Research Map | TGRS