IOER Carto-Lab Docker An RDM Infrastructure for Transparent, Open, and Reproducible Spatial Data Science
Year: 2025
Type: article
Abstract: This is the poster presented at the 2nd Conference on Research Data Infrastructure (CoRDI 2025) in Aachen, Germany, for the "RDM Infrastructures" track. The poster introduces Carto-Lab Docker (CLD), a practical Research Data Management (RDM) infrastructure designed to address the significant challenges of transparent, open, and reproducible spatial data science. The poster visually outlines the "Three-Pillar RDM Infrastructure" approach of CLD: Guaranteed Reproducibility: Through versioned, pre-configured Docker containers that solve software "dependency hell". Enhanced Collaboration: Via features like live notebook sharing and isolated team instances. Integrated Publication: Using CI/CD pipelines to automate the generation of FAIR supplementary materials from notebooks. It further showcases "CLD in Action" through real-world use cases, including university training materials (NFDI4Biodiversity Jupyter Book) and the generation of citable, reproducible supplements for peer-reviewed publications. Overall, the work presents CLD as a FAIR-enabling environment that empowers researchers by streamlining workflows from analysis to publication. For more information, please visit the official documentation and source code repository: Documentation: https://cartolab.fdz.ioer.info/ Source Code: https://github.com/ioer-dresden/carto-lab-docker The work was supported by the IOER Research Data Centre (IOER FDZ) and builds upon foundations from the DFG VGIscience program and the NFDI4Biodiversity consortium.
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
Funder: Deutsche Forschungsgemeinschaft
Award: G1859743012
OpenAlex ID: W7080571395
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