Details
| Original language | English |
|---|---|
| Title of host publication | INFORMATIK 2023 - Designing Futures: Zukunfte gestalten |
| Subtitle of host publication | Proceedings |
| Editors | Maike Klein, Daniel Krupka, Cornelia Winter, Volker Wohlgemuth |
| Publisher | Gesellschaft fur Informatik (GI) |
| Pages | 919-924 |
| Number of pages | 6 |
| ISBN (electronic) | 9783885797319 |
| Publication status | Published - 2023 |
| Event | INFORMATIK 2023 - Designing Futures: Zukünfte gestalten: Das Festival zur 53. Jahrestagung der Gesellschaft für Informatik - Berlin, Germany Duration: 26 Sept 2023 → 29 Sept 2023 |
Publication series
| Name | Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI) |
|---|---|
| Volume | P-337 |
| ISSN (Print) | 1617-5468 |
Abstract
NFDI4DataScience (NFDI4DS) is a consortium founded to support researchers in all stages of the research data lifecycle in order to conduct their research in line with the FAIR principles. The infrastructure developed targets researchers from a wide range of disciplines working in the field of data science and artificial intelligence. NFDI4DS contributes to systematically understanding the needs and challenges of researchers in various disciplines regarding data science and artificial intelligence, keeping in mind ethical, legal and social aspects. The identified needs will be addressed by support structures such as educational videos and challenges. Transparency, reproducibility and FAIRness will be improved by integrating existing and newly developed services into the NFDI4DS infrastructure, and by systematically adding all digital objects (articles, data, machine learning models, workflows, scripts/code, etc.) to the NFDI4DS research knowledge graph. This paper presents the goals of NFDI4DS, and gives an overview on what the consortium is going to contribute to the data science and artificial intelligence communities. It focuses on existing and newly developed services and their integration.
Keywords
- NFDI, NFDI4DS, Research Data Infrastructures
ASJC Scopus subject areas
- Computer Science(all)
- Computer Science Applications
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
INFORMATIK 2023 - Designing Futures: Zukunfte gestalten: Proceedings. ed. / Maike Klein; Daniel Krupka; Cornelia Winter; Volker Wohlgemuth. Gesellschaft fur Informatik (GI), 2023. p. 919-924 (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI); Vol. P-337).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research
}
TY - GEN
T1 - NFDI4DS Infrastructure and Services
AU - Schimmler, Sonja
AU - Wentzel, Bianca
AU - Bleier, Arnim
AU - Dietze, Stefan
AU - Karmakar, Saurav
AU - Mutschke, Peter
AU - Kraft, Angelie
AU - Taffa, Tilahun A.
AU - Usbeck, Ricardo
AU - Boukhers, Zeyd
AU - Auer, Sören
AU - Castro, Leyla Jael
AU - Ackermann, Marcel R.
AU - Neumuth, Thomas
AU - Schneider, Daniel
AU - Abedjan, Ziawasch
AU - Latif, Atif
AU - Limani, Fidan
AU - Ahmad, Raia Abu
AU - Rehm, Georg
AU - Khorasani, Sima Attar
AU - Lieber, Matthias
N1 - Funding Information: This work has received funding through the German Research Foundation (DFG) project NFDI4DS (no. 460234259).
PY - 2023
Y1 - 2023
N2 - NFDI4DataScience (NFDI4DS) is a consortium founded to support researchers in all stages of the research data lifecycle in order to conduct their research in line with the FAIR principles. The infrastructure developed targets researchers from a wide range of disciplines working in the field of data science and artificial intelligence. NFDI4DS contributes to systematically understanding the needs and challenges of researchers in various disciplines regarding data science and artificial intelligence, keeping in mind ethical, legal and social aspects. The identified needs will be addressed by support structures such as educational videos and challenges. Transparency, reproducibility and FAIRness will be improved by integrating existing and newly developed services into the NFDI4DS infrastructure, and by systematically adding all digital objects (articles, data, machine learning models, workflows, scripts/code, etc.) to the NFDI4DS research knowledge graph. This paper presents the goals of NFDI4DS, and gives an overview on what the consortium is going to contribute to the data science and artificial intelligence communities. It focuses on existing and newly developed services and their integration.
AB - NFDI4DataScience (NFDI4DS) is a consortium founded to support researchers in all stages of the research data lifecycle in order to conduct their research in line with the FAIR principles. The infrastructure developed targets researchers from a wide range of disciplines working in the field of data science and artificial intelligence. NFDI4DS contributes to systematically understanding the needs and challenges of researchers in various disciplines regarding data science and artificial intelligence, keeping in mind ethical, legal and social aspects. The identified needs will be addressed by support structures such as educational videos and challenges. Transparency, reproducibility and FAIRness will be improved by integrating existing and newly developed services into the NFDI4DS infrastructure, and by systematically adding all digital objects (articles, data, machine learning models, workflows, scripts/code, etc.) to the NFDI4DS research knowledge graph. This paper presents the goals of NFDI4DS, and gives an overview on what the consortium is going to contribute to the data science and artificial intelligence communities. It focuses on existing and newly developed services and their integration.
KW - NFDI
KW - NFDI4DS
KW - Research Data Infrastructures
UR - http://www.scopus.com/inward/record.url?scp=85181128596&partnerID=8YFLogxK
U2 - 10.18420/inf2023_103
DO - 10.18420/inf2023_103
M3 - Conference contribution
AN - SCOPUS:85181128596
T3 - Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)
SP - 919
EP - 924
BT - INFORMATIK 2023 - Designing Futures: Zukunfte gestalten
A2 - Klein, Maike
A2 - Krupka, Daniel
A2 - Winter, Cornelia
A2 - Wohlgemuth, Volker
PB - Gesellschaft fur Informatik (GI)
T2 - INFORMATIK 2023 - Designing Futures: Zukünfte gestalten
Y2 - 26 September 2023 through 29 September 2023
ER -