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| Hauptseite > Publikationsdatenbank > A Large-scale FAIR Research Data Infrastructure for Environmental Time Series Data |
| Hauptseite > Publikationsdatenbank > A Large-scale FAIR Research Data Infrastructure for Environmental Time Series Data |
| Dataset | FZJ-2025-04757 |
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2025
Zenodo
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Please use a persistent id in citations: doi:10.5281/ZENODO.15167733
Abstract: In Environmental Sciences, Time-series data is key to, for example, monitoring environmental processes and validating Earth system models. A major issue is the lack of a consistent data availability standard aligned with the FAIR principles, but the Helmholtz Earth and Environment DataHub is working with the Helmholtz Metadata Collaboration project STAMPLATE to address this. The seven participating research centers are building a large-scale infrastructure using the Open Geospatial Consortium's SensorThings API (STA) as the central data interface. It is linked to other community-driven tools, such as sensor and device management systems, data ingestion systems, and the Earth Data Portal (www.earth-data.de) with highly customizable viewers. Our custom, semantic metadata profile augments STA’s core data model with domain-specific information. This ensures that metadata entered in any user self-service is also displayed in the Earth Data Portal along with the ingested data. The operationalization of the framework and its subsequent integration into research data workflows is imminent, thereby rendering long-term, nationwide measurements spanning decades available. Concurrently, our RDM processes are undergoing a transformative shift, moving from manual, person-based to self-organized, digital-supported workflows. This poster presents the fundamental elements of our initiative and the associated challenges. It also encourages new domains to get involved.
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