About

The Mathematical Research Data Initiative

The Mathematical Research Data Initiative (MaRDI) is a consortium of German research institutions funded by the National Research Data Infrastructure (NFDI). Its mission is to establish standards for mathematical research data, develop tools for linking research outputs through persistent identifiers, and provide databases that give the mathematical research community direct access to key resources. The scope of MaRDI spans mathematical objects ranging from theorems and algorithms to statistical analyses and computational workflows. Participating researchers hold backgrounds in computer algebra, scientific computing, statistics, and machine learning. The MaRDI Portal structures this landscape as a relational knowledge base, and multiple subprojects organised through task areas maintain specialised interfaces and extend relevant subdomains. Further information is available on the NFDI website.

The GMCI Initiative

Within MaRDI, the Graphical Modelling and Causal Inference (GMCI) initiative was established by statisticians from TU Munich, LMU Munich, and WIAS Berlin. The research group at TU Munich, whose members specialise in algebraic statistics and graphical modelling, manages the Zenodo community and is responsible for the maintenance of this website. The initiative operates under MaRDI Task Area 3, which coordinates statistical methodology and data infrastructure.

Enquiries may be directed to the team via the mardi ‘at’ statistics ‘dot’ cit ‘dot’ tum ‘dot’ de.

Contributors

The following researchers have contributed to GMCI in the roles of community moderators, notebook authors, and dataset curators.

Name	Affiliation
Mathias Drton	TU Munich
Leopold Mareis	TU Munich
Stephan Haug	TU Munich
Nils Sturma	École Polytechnique Fédérale de Lausanne
Benjamin Hollering	MPI Leipzig
Oleksandr Zadorozhnyi	University of Potsdam
Antony Della Vecchia	TU Berlin

Submissions of datasets and analysis notebooks from the wider research community are actively solicited. The review and submission process is described on the Contributing page.

Citation {#citation}

When using any resource from the GMCI community, authors are asked to cite both the original creators of the dataset or notebook and the GMCI community itself. Each record in the GMCI Zenodo community carries its own DOI and citation metadata, which can be exported directly from the record page in a range of reference formats. The community as a whole should be cited using the following reference.

@article{Mareis_Haug_Drton_2025,
  title   = {MaRDI's Zenodo Community for Graphical Modeling and Causal Inference},
  volume  = {2},
  journal = {Proceedings of the Conference on Research Data Infrastructure},
  author  = {Mareis, Leopold and Haug, Stephan and Drton, Mathias},
  year    = {2025},
  month   = {Sep.}
}

Past Events

Members of the GMCI team will be present at the following conferences.

Event	Dates	Location
CoRDI 2025	26–28 August 2025	Aachen, Germany
Statistical Computing 2025	27–30 July 2025	Günzburg, Germany