MaRDI: Building Research Data Infrastructures for Mathematics and the Mathematical Sciences

Renita Danabalan; Michael Hintermüller; Thomas Koprucki; Karsten Tabelow

doi:10.52825/cordi.v1i.397

Authors

Renita Danabalan Weierstrass Institute for Applied Analysis and Stochastics https://orcid.org/0000-0003-3324-6448
Michael Hintermüller Weierstrass Institute for Applied Analysis and Stochastics
Thomas Koprucki Weierstrass Institute for Applied Analysis and Stochastics
Karsten Tabelow Weierstrass Institute for Applied Analysis and Stochastics https://orcid.org/0000-0003-1274-9951

DOI:

https://doi.org/10.52825/cordi.v1i.397

Keywords:

Research data, Mathematics, research data infrastructures, Semantic technologies, Repositories

Abstract

MaRDI is building a research data infrastructure for mathematics and be- yond based on semantic technologies (metadata, ontologies, knowledge graphs) and data repositories. Focusing on the algorithms, models and workflows, the MaRDI in- frastructure will connect with other disciplines and NFDI consortia on data processing methods, solving real world problems and support mathematicians on research data management.

References

The MaRDI consortium, MaRDI: Mathematical Research Data Initiative Proposal, May 2022. DOI: 10.5281/zenodo.6552436. [Online]. Available: https://doi.org/10.5281/ zenodo.6552436.

T. Boege, R. Fritze, C. Go ̈rgen, et al., Research-Data Management Planning in the German Mathematical Community, 2022. arXiv: 2211.12071 [math.HO].

T. A. Davis and Y. Hu, “The University of Florida Sparse Matrix Collection,” ACM Trans. Math. Softw., vol. 38, no. 1, Dec. 2011, ISSN: 0098-3500. DOI: 10.1145/2049662.2049663. [Online]. Available: https://doi.org/10.1145/2049662.2049663.

MaRDI

Building Research Data Infrastructures for Mathematics and the Mathematical Sciences

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