NFDI4DS Transfer and Application
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Authors
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 language | English |
|---|---|
| Title of host publication | INFORMATIK 2023 : Designing Futures: Zukunfte gestalten, Proceedings; 2 6. – 29. September 2023, Berlin |
| Editors | Maike Klein, Daniel Krupka, Cornelia Winter, Volker Wohlgemuth |
| Number of pages | 5 |
| Place of Publication | Bonn |
| Publisher | Gesellschaft für Informatik e.V. |
| Publication date | 2023 |
| Pages | 925-929 |
| ISBN (electronic) | 978-3-88579-731-9 |
| Publication status | Published - 2023 |
| Externally published | Yes |
| Event | 53. Annual Meeting of the German Informatics Society (GI) - INFORMATICS 2023: Designing Futures - Zukünfte Gestalten - Online & HTW Berlin, Berlin, Germany Duration: 26.09.2023 → 29.09.2023 Conference number: 53 https://informatik2023.gi.de/ |
Bibliographical note
Publisher Copyright:
© 2023 Gesellschaft fur Informatik (GI). All rights reserved.
- Artificial Intelligence, Data Science, NFDI, NFDI4DS, Research Data Infrastructures
- Informatics
- Business informatics