Skip to main content Skip to main navigation

Project | NFDI4DataScience

Duration:
NFDI4DataScience and AI

NFDI4DataScience and AI

The vision of NFDI4DataScience (NFDI4DS) is to support all steps of the complex and interdisciplinary research data lifecycle, including collecting and creating, processing, analysing, publishing, archiving, and reusing resources in Data Science and Artificial Intelligence.

The past years have seen a paradigm shift, with computational methods increasingly relying on data-driven and often deep learning-based approaches, leading to the establishment and ubiquity of Data Science as a discipline driven by advances in the field of Computer Science. Transparency, reproducibility and fairness have become crucial challenges for Data Science and Artificial Intelligence due to the complexity of contemporary Data Science methods, often relying on a combination of code, models and data used for training. NFDI4DS will promote fair and open research data infrastructures supporting all involved resources such as code, models, data, or publications through an integrated approach.

The overarching objective of NFDI4DS is the development, establishment, and sustainment of a national research data infrastructure (NFDI) for the Data Science and Artificial Intelligence community in Germany. This will also deliver benefits for a wider community requiring data analytics solutions, within the NFDI and beyond. The key idea is to work towards increasing the transparency, reproducibility and fairness of Data Science and Artificial Intelligence projects, by making all digital artifacts available, interlinking them, and offering innovative tools and services. Based on the reuse of these digital objects, this enables new and innovative research.

NFDI4DS intends to represent the Data Science and Artificial Intelligence community in academia, which is an interdisciplinary field rooted in Computer Science. We aim to reuse existing solutions and to collaborate closely with the other NFDI consortia and beyond. In the initial phase, NFDI4DS will focus on four Data Science intense application areas: language technology, biomedical sciences, information sciences and social sciences. The expertise available in NFDI4DS ensures that metadata standards are interoperable across domains and that new ways of dealing with digital objects arise.

Publications

All publications
  1. FoRC4CL: A Fine-grained Field of Research Classification and Annotated Dataset of NLP Articles

    Raia Abu Ahmad; Ekaterina Borisova; Georg Rehm

    In: Nicoletta Calzolari; Min-Yen Kan; Veronique Hoste; Alessandro Lenci; Sakti Sakriani; Nianwen Xue (Hrsg.). Proceedings of the Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). International Conference on Language Resources and Evaluation (LREC-2024), May 20-25, Turino, Italy, Italy, European Language Resources Association (ELRA),…

Funding Authorities

DFG - German Research Foundation

DFG - German Research Foundation