Shared tasks are powerful tools for advancing research through community-based standardised evaluation. As such, they play a key role in promoting findable, accessible, interoperable, and reusable (FAIR), as well as transparent and reproducible research practices. This paper presents an updated overview of twelve shared tasks developed and hosted under the German National Research Data Infrastructure for Data Science and Artificial Intelligence (NFDI4DS) consortium, covering a diverse set of challenges in scholarly document processing. Hosted at leading venues, the tasks foster methodological innovations and contribute open-access datasets, models, and tools for the broader research community, which are integrated into the consortium's research data infrastructure.
@article{arxiv.2509.22141,
title = {NFDI4DS Shared Tasks for Scholarly Document Processing},
author = {Raia Abu Ahmad and Rana Abdulla and Tilahun Abedissa Taffa and Soeren Auer and Hamed Babaei Giglou and Ekaterina Borisova and Zongxiong Chen and Stefan Dietze and Jennifer DSouza and Mayra Elwes and Genet-Asefa Gesese and Shufan Jiang and Ekaterina Kutafina and Philipp Mayr and Georg Rehm and Sameer Sadruddin and Sonja Schimmler and Daniel Schneider and Kanishka Silva and Sharmila Upadhyaya and Ricardo Usbeck},
journal= {arXiv preprint arXiv:2509.22141},
year = {2025}
}