Organizing Scholarly Knowledge in the Open Research Knowledge Graph: An Open-Science Platform for FAIR Scholarly Knowledge

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • Sören Auer
  • Markus Stocker
  • Oliver Karras
  • Allard Oelen
  • Jennifer D'Souza
  • Anna-Lena Lorenz

Organisationseinheiten

Externe Organisationen

  • Technische Informationsbibliothek (TIB) Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des SammelwerksProceedings of the Conference on Research Data Infrastructure
Seitenumfang4
PublikationsstatusVeröffentlicht - 7 Sept. 2023

Publikationsreihe

NameProceedings of the Conference on Research Data Infrastructure
ISSN (Print)2941-296X

Abstract

The Open Research Knowledge Graph (ORKG) is an Open Science digital infrastructure for the production, curation, publication, and reuse of machine-actionable scholarly knowledge. Built on top of the RDF data model and extensible ontologies, the ORKG provides a common vocabulary for researchers to describe their research contributions and data, improving the discoverability and reusability of scholarly knowledge and research data. The ORKG includes tools for visualizing the relationships between different entities, making it easier to understand the connections between different pieces of research and their findings. It facilitates collaboration between researchers by providing a collaborative platform for organizing and sharing scholarly knowledge and data, reducing duplication and enabling more efficient use of resources. As research becomes increasingly data-driven, tools like the ORKG will become essential for enabling efficient, transparent, and collaborative research.

Zitieren

Organizing Scholarly Knowledge in the Open Research Knowledge Graph: An Open-Science Platform for FAIR Scholarly Knowledge. / Auer, Sören; Stocker, Markus; Karras, Oliver et al.
Proceedings of the Conference on Research Data Infrastructure. 2023. (Proceedings of the Conference on Research Data Infrastructure ).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Auer, S, Stocker, M, Karras, O, Oelen, A, D'Souza, J & Lorenz, A-L 2023, Organizing Scholarly Knowledge in the Open Research Knowledge Graph: An Open-Science Platform for FAIR Scholarly Knowledge. in Proceedings of the Conference on Research Data Infrastructure. Proceedings of the Conference on Research Data Infrastructure . https://doi.org/10.52825/cordi.v1i.272
Auer, S., Stocker, M., Karras, O., Oelen, A., D'Souza, J., & Lorenz, A.-L. (2023). Organizing Scholarly Knowledge in the Open Research Knowledge Graph: An Open-Science Platform for FAIR Scholarly Knowledge. In Proceedings of the Conference on Research Data Infrastructure (Proceedings of the Conference on Research Data Infrastructure ). https://doi.org/10.52825/cordi.v1i.272
Auer S, Stocker M, Karras O, Oelen A, D'Souza J, Lorenz AL. Organizing Scholarly Knowledge in the Open Research Knowledge Graph: An Open-Science Platform for FAIR Scholarly Knowledge. in Proceedings of the Conference on Research Data Infrastructure. 2023. (Proceedings of the Conference on Research Data Infrastructure ). doi: 10.52825/cordi.v1i.272
Auer, Sören ; Stocker, Markus ; Karras, Oliver et al. / Organizing Scholarly Knowledge in the Open Research Knowledge Graph : An Open-Science Platform for FAIR Scholarly Knowledge. Proceedings of the Conference on Research Data Infrastructure. 2023. (Proceedings of the Conference on Research Data Infrastructure ).
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title = "Organizing Scholarly Knowledge in the Open Research Knowledge Graph: An Open-Science Platform for FAIR Scholarly Knowledge",
abstract = "The Open Research Knowledge Graph (ORKG) is an Open Science digital infrastructure for the production, curation, publication, and reuse of machine-actionable scholarly knowledge. Built on top of the RDF data model and extensible ontologies, the ORKG provides a common vocabulary for researchers to describe their research contributions and data, improving the discoverability and reusability of scholarly knowledge and research data. The ORKG includes tools for visualizing the relationships between different entities, making it easier to understand the connections between different pieces of research and their findings. It facilitates collaboration between researchers by providing a collaborative platform for organizing and sharing scholarly knowledge and data, reducing duplication and enabling more efficient use of resources. As research becomes increasingly data-driven, tools like the ORKG will become essential for enabling efficient, transparent, and collaborative research.",
author = "S{\"o}ren Auer and Markus Stocker and Oliver Karras and Allard Oelen and Jennifer D'Souza and Anna-Lena Lorenz",
note = "Funding Information: This work was co-funded by the European Research Council for the project Science-GRAPH (GA ID: 819536) as well as the DFG NFDI4Ing (no. 442146713), NFDI4DataScience(no. 460234259) and NFDI4Energy (no. 501865131) projects. Acknowledgments: The OKRG is a team effort comprising overall more than 50 people distributed world-wide working on the development of the service platform, curating content, and re-searching novel features.",
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AU - Stocker, Markus

AU - Karras, Oliver

AU - Oelen, Allard

AU - D'Souza, Jennifer

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N1 - Funding Information: This work was co-funded by the European Research Council for the project Science-GRAPH (GA ID: 819536) as well as the DFG NFDI4Ing (no. 442146713), NFDI4DataScience(no. 460234259) and NFDI4Energy (no. 501865131) projects. Acknowledgments: The OKRG is a team effort comprising overall more than 50 people distributed world-wide working on the development of the service platform, curating content, and re-searching novel features.

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