NFDI4DS Infrastructure and Services
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Standard
INFORMATIK 2023 - Designing Futures: Zukunfte gestalten, Proceedings. ed. / Maike Klein; Daniel Krupka; Cornelia Winter; Volker Wohlgemuth. Gesellschaft für Informatik e.V., 2023. p. 921-926 (Lecture Notes in Informatics (LNI), Proceedings; Vol. P-337).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Harvard
APA
Vancouver
Bibtex
}
RIS
TY - CHAP
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 - Conference code: 53
PY - 2023/12/4
Y1 - 2023/12/4
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
UR - https://www.mendeley.com/catalogue/aeef32be-854c-3f08-9b99-86cf2576e3ed/
M3 - Article in conference proceedings
AN - SCOPUS:85181128596
SN - 9783885797319
T3 - Lecture Notes in Informatics (LNI), Proceedings
SP - 921
EP - 926
BT - INFORMATIK 2023 - Designing Futures
A2 - Klein, Maike
A2 - Krupka, Daniel
A2 - Winter, Cornelia
A2 - Wohlgemuth, Volker
PB - Gesellschaft für Informatik e.V.
T2 - 53. Annual Meeting of the German Informatics Society (GI) - INFORMATICS 2023
Y2 - 26 September 2023 through 29 September 2023
ER -