IOER Carto-Lab Docker An RDM Infrastructure for Transparent, Open, and Reproducible Spatial Data Science

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.