NFDI4DS Transfer and Application

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

  • Ekaterina Borisova
  • Raia Abu Ahmad
  • Georg Rehm
  • Ricardo Usbeck
  • Jennifer D'Souza
  • Markus Stocker
  • Sören Auer
  • Judith Gilsbach
  • Anastasia Wolschewski
  • Johannes Keller
  • Daniel Schneider
  • Thomas Neumuth
  • Sonja Schimmler

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.

Original languageEnglish
Title of host publicationINFORMATIK 2023 : Designing Futures: Zukunfte gestalten, Proceedings; 2 6. – 29. September 2023, Berlin
EditorsMaike Klein, Daniel Krupka, Cornelia Winter, Volker Wohlgemuth
Number of pages5
Place of PublicationBonn
PublisherGesellschaft für Informatik e.V.
Publication date2023
Pages925-929
ISBN (electronic)978-3-88579-731-9
Publication statusPublished - 2023
Externally publishedYes
Event53. Annual Meeting of the German Informatics Society (GI) - INFORMATICS 2023: Designing Futures - Zukünfte Gestalten - Online & HTW Berlin, Berlin, Germany
Duration: 26.09.202329.09.2023
Conference number: 53
https://informatik2023.gi.de/

Bibliographical note

Publisher Copyright:
© 2023 Gesellschaft fur Informatik (GI). All rights reserved.

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