Description
Modern scientific workflows increasingly depend on research software, yet numerical experiments often face challenges in reliability, robustness, and interoperability. Although novel algorithms continue to emerge, their adoption across disciplines is frequently limited by the difficulty of integrating them into established workflows.
Research data are often insufficiently annotated, inconsistently structured, or difficult to access, and hence not directly usable for AI training purposes. Also, the lack of standardized benchmarks hinders transparent and reproducible performance evaluation. In multi-step research processes, data, tools, and domain-specific knowledge are also rarely captured in forms that can be translated into automated workflows. To address these challenges, MaRDI provides a standardized specification and services for data and metadata management, benchmarking, and workflow representation across mathematical domains. Designed for extensibility, customizability, and reproducibility, MaRDI services support a flexible, domain-independent approach to scientific workflows within and across mathematical communities.
| MPI | Dynamics of Complex Technical Systems |
|---|---|
| NFDI Consortium | MaRDI |