Mathematische Forschungsdaten im FDM
MaRDMO als Brücke zwischen Wissensgraph und Forschungseinrichtungen
DOI:
https://doi.org/10.5282/o-bib/6282Keywords:
Research data management, Knowledge graph, Mathematical research data, Research data management organiserAbstract
Mathematical models, algorithms, and interdisciplinary workflows are core research data types in mathematics and in all disciplines that rely on mathematical methods. However, they are often overlooked in research data management (RDM) due to the absence of a conceptual foundation for their standardised description. The Mathematical Research Data Initiative (MaRDI) has established this foundation through the development of a growing knowledge graph that documents mathematical models, algorithms, and interdisciplinary workflows in a structured way. MaRDMO, a plugin for the Research Data Management Organiser (RDMO), connects this knowledge graph with the RDM infrastructure of German research institutions. Through guided questionnaires, researchers can document mathematical research data and search the knowledge graph without any knowledge of SPARQL or ontologies. This paper provides a description of the MaRDMO plugin, its integration into current developments in data management planning, and its significance for researchers working with mathematical research data across all disciplines, as well as for those supporting them in RDM. An outlook on planned extensions is also provided, including AI-assisted documentation features and training materials.
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