NFDI4DS Infrastructure and Services

Research output: Chapter in book/report/conference proceedingConference contributionResearch

Authors

  • Sonja Schimmler
  • Bianca Wentzel
  • Arnim Bleier
  • Stefan Dietze
  • Saurav Karmakar
  • Peter Mutschke
  • Angelie Kraft
  • Tilahun A. Taffa
  • Ricardo Usbeck
  • Zeyd Boukhers
  • Sören Auer
  • Leyla Jael Castro
  • Marcel R. Ackermann
  • Thomas Neumuth
  • Daniel Schneider
  • Ziawasch Abedjan
  • Atif Latif
  • Fidan Limani
  • Raia Abu Ahmad
  • Georg Rehm
  • Sima Attar Khorasani
  • Matthias Lieber

External Research Organisations

  • Fraunhofer Institute for Open Communication Systems (FOKUS)
  • GESIS - Leibniz Institute for the Social Sciences
  • Universität Hamburg
  • Fraunhofer Institute for Applied Information Technology (FIT)
  • German National Library of Science and Technology (TIB)
  • Leipzig University
  • ZBW - Leibniz Information Centre for Economics
  • German Research Centre for Artificial Intelligence (DFKI)
  • Technische Universität Dresden
  • German National Library of Medicine ZB MED - Leibniz Information Centre for Life Sciences
View graph of relations

Details

Original languageEnglish
Title of host publicationINFORMATIK 2023 - Designing Futures: Zukunfte gestalten
Subtitle of host publicationProceedings
EditorsMaike Klein, Daniel Krupka, Cornelia Winter, Volker Wohlgemuth
PublisherGesellschaft fur Informatik (GI)
Pages919-924
Number of pages6
ISBN (electronic)9783885797319
Publication statusPublished - 2023
EventINFORMATIK 2023 - Designing Futures: Zukünfte gestalten: Das Festival zur 53. Jahrestagung der Gesellschaft für Informatik - Berlin, Germany
Duration: 26 Sept 202329 Sept 2023

Publication series

NameLecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)
VolumeP-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

Cite this

NFDI4DS Infrastructure and Services. / Schimmler, Sonja; Wentzel, Bianca; Bleier, Arnim et al.
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 proceedingConference contributionResearch

Schimmler, S, Wentzel, B, Bleier, A, Dietze, S, Karmakar, S, Mutschke, P, Kraft, A, Taffa, TA, Usbeck, R, Boukhers, Z, Auer, S, Castro, LJ, Ackermann, MR, Neumuth, T, Schneider, D, Abedjan, Z, Latif, A, Limani, F, Ahmad, RA, Rehm, G, Khorasani, SA & Lieber, M 2023, NFDI4DS Infrastructure and Services. in M Klein, D Krupka, C Winter & V Wohlgemuth (eds), INFORMATIK 2023 - Designing Futures: Zukunfte gestalten: Proceedings. Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI), vol. P-337, Gesellschaft fur Informatik (GI), pp. 919-924, INFORMATIK 2023 - Designing Futures: Zukünfte gestalten, Berlin, Berlin, Germany, 26 Sept 2023. https://doi.org/10.18420/inf2023_103
Schimmler, S., Wentzel, B., Bleier, A., Dietze, S., Karmakar, S., Mutschke, P., Kraft, A., Taffa, T. A., Usbeck, R., Boukhers, Z., Auer, S., Castro, L. J., Ackermann, M. R., Neumuth, T., Schneider, D., Abedjan, Z., Latif, A., Limani, F., Ahmad, R. A., ... Lieber, M. (2023). NFDI4DS Infrastructure and Services. In M. Klein, D. Krupka, C. Winter, & V. Wohlgemuth (Eds.), INFORMATIK 2023 - Designing Futures: Zukunfte gestalten: Proceedings (pp. 919-924). (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI); Vol. P-337). Gesellschaft fur Informatik (GI). https://doi.org/10.18420/inf2023_103
Schimmler S, Wentzel B, Bleier A, Dietze S, Karmakar S, Mutschke P et al. NFDI4DS Infrastructure and Services. In Klein M, Krupka D, Winter C, Wohlgemuth V, editors, INFORMATIK 2023 - Designing Futures: Zukunfte gestalten: Proceedings. Gesellschaft fur Informatik (GI). 2023. p. 919-924. (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)). doi: 10.18420/inf2023_103
Schimmler, Sonja ; Wentzel, Bianca ; Bleier, Arnim et al. / NFDI4DS Infrastructure and Services. INFORMATIK 2023 - Designing Futures: Zukunfte gestalten: Proceedings. editor / Maike Klein ; Daniel Krupka ; Cornelia Winter ; Volker Wohlgemuth. Gesellschaft fur Informatik (GI), 2023. pp. 919-924 (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)).
Download
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title = "NFDI4DS Infrastructure and Services",
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",
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note = "Funding Information: This work has received funding through the German Research Foundation (DFG) project NFDI4DS (no. 460234259).; INFORMATIK 2023 - Designing Futures: Zuk{\"u}nfte gestalten : Das Festival zur 53. Jahrestagung der Gesellschaft f{\"u}r Informatik ; Conference date: 26-09-2023 Through 29-09-2023",
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Download

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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.

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KW - NFDI4DS

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AN - SCOPUS:85181128596

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PB - Gesellschaft fur Informatik (GI)

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ER -

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