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ZENODO
Software . 2026
Data sources: ZENODO
ZENODO
Software . 2026
Data sources: Datacite
ZENODO
Software . 2026
Data sources: Datacite
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spatial.IO - An integrated cloud-ready geospatial data management system

Authors: Weber, Christian; Lange, Rebekka; Biskamp, Bjarne; Panda, Manisha; Schnicke, Thomas; Bumberger, Jan;

spatial.IO - An integrated cloud-ready geospatial data management system

Abstract

🎉 spatial.IO reaches Version 1.0! After years of continuous development, we are excited to release spatial.IO v1.0 — marking its transition into a stable, production-ready platform. This milestone reflects the maturity of a system already powering multiple real-world applications at the UFZ, and we're thrilled to share it with the broader community. Store, publish, analyze, and visualize raster, vector, and time-series geodata with a self-service interface that requires no database or GIS-server expertise. What is spatial.IO? spatial.IO is the Spatial Data Infrastructure (SDI) of the Helmholtz Centre for Environmental Research (UFZ). It provides a complete, production-ready solution for managing geospatial data across its entire lifecycle — from ingestion and processing to publication, metadata management, and interactive visualization. Built entirely on open standards and open-source components, spatial.IO is designed for research institutions, government agencies, and any organization that needs to make spatial data FAIR: Findable, Accessible, Interoperable, and Reusable. For Whom? Audience What spatial.IO delivers Scientists & Data Managers Publish and share geodata with full metadata and DOI. No IT skills required. Government Agencies & Authorities OGC-compliant SDI out of the box, open-source, EUPL-licensed, audit-safe and sovereignty-preserving. Administrators & IT Container-based (Docker + Helm), scales with your infrastructure, integrates into any IT landscape. Developers Microservice architecture, open standards, extensible processes. Features S3 cloud-storage FROST®-Server to store and access sensor data (in combination with time.IO and SaQC) Creation of custom interactive WebGIS components Extendable processes to get spatially aggregated values raster data Use of django framework to make configuration of data and WebGIS user-friendly Workflow for automated creation of OGC web services with GeoServer of new spatial data Workflow for automated creation of metadata entries in GeoNetwork Supported formats: NetCDF, Cloud-Optimized GeoTIFF, GeoTIFF, Shapefile, GeoJSON, GeoPackage, CSV, and SensorThings (STA). Quickstart Install Docker Engine (Community Edition - CE is enough) and Docker Compose Install a git client and checkout the spatial.IO repository or unzip the attached archive Follow step-by-step instructions in README.md to startup Techstack, dependencies and third party open source products FROST®-Server GeoServer GeoNetwork django PostgreSQL Vue Bulma pygeoapi OpenLayers Part of an ecosystem: spatial.IO works seamlessly with time.IO (time-series management), SMS (sensor metadata management), and SaQC (data quality control) — together covering the full lifecycle of environmental monitoring data, all developed within the Helmholtz DataHub Initiative. In production: spatial.IO already powers platforms like WIS-D (German water data) and the UFZ Forest Condition Monitor, plus numerous other Monitors at UFZ. Acknowledgements We thank the Helmholtz Association and the Federal Ministry of Education and Research (BMBF) for supporting the DataHub Initiative of the Research Field Earth and Environment. The DataHub enables an overarching and comprehensive research data management, following FAIR principles, for all Topics in the Program Changing Earth – Sustaining our Future.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Top 10%
Average
Average