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2023
Conference Paper
Title

NFDI4DS Transfer and Application

Abstract
Due to the ever increasing importance of Data Science and Artificial Intelligence methods for a wide range of scientific disciplines, ensuring transparency and reproducibility of DS and AI methods and research findings have become essential. The NFDI4DS project promotes the findability, accessibility, interoperability, and reusability in DS and AI by developing an open integrated research data infrastructure in which all artefacts (e. g., papers, code, models, datasets) will be interlinked in a FAIR and transparent way. One of the key aspects is to build a bridge between NFDI4DS and other research communities which actively apply DS and AI methods. This paper describes the main actions taken to engage with the relevant (sub)communities
Author(s)
Borisova, Ekaterina
Abu Ahmad, Raia
Rehm, Georg
Usbeck, Ricardo
D'Souza, Jennifer
Stocker, Markus
Auer, Sören
Gilsbach, Judith
Wolschewski, Anastasia
Keller, Johannes
Schneider, Daniel
Neumuth, Thomas
Schimmler, Sonja  
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Mainwork
INFORMATIK 2023 - Designing Futures: Zukünfte gestalten  
Conference
Gesellschaft für Informatik (Jahrestagung) 2023  
DOI
10.18420/inf2023_104
Language
English
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Keyword(s)
  • NFDI

  • NFDI4DS

  • Data Science

  • Artificial Intelligence;

  • Research Data Infrastructures

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