TY - JOUR

T1 - NFDI4DS Gateway and Portal

AU - Usbeck, Ricardo

AU - Taffa, Tilahun Abedissa

AU - Veliz, Rudy Alexandro Garrido

AU - Abdullah, Rana

AU - Shams, Najeebullah

AU - Wentzel, Bianca

AU - Chen, Zongxiong

AU - Schimmler, Sonja

N1 - Conference code: 1

PY - 2023/9/7

Y1 - 2023/9/7

N2 - ©NFDI4DataScience (NFDI4DS) is a consortium to support researchers in all stages of the research data lifecycle to conduct their research in line with the FAIR principles. The developed infrastructure targets researchers from a wide range of disciplines in data science and AI. We present the ideas of the NFDI4DS gateway and the NFDI4DS portal. Two approaches to navigate digital objects (articles, data, machine learning models, workflows, scripts/code, etc.) from various NFDI4DS resources such as the ORKG, the DBLP database, and other research knowledge graphs (KGs). Transparency, reproducibility, and fairness will be fostered by a step-wise integration of existing and newly developed services into the overall system. With this paper, we want to engage with the community and understand the needs and challenges of researchers in various disciplines regarding data science and AI. Therefore, we will discuss the currently developed prototypes and outline our plans for future development steps.  

AB - ©NFDI4DataScience (NFDI4DS) is a consortium to support researchers in all stages of the research data lifecycle to conduct their research in line with the FAIR principles. The developed infrastructure targets researchers from a wide range of disciplines in data science and AI. We present the ideas of the NFDI4DS gateway and the NFDI4DS portal. Two approaches to navigate digital objects (articles, data, machine learning models, workflows, scripts/code, etc.) from various NFDI4DS resources such as the ORKG, the DBLP database, and other research knowledge graphs (KGs). Transparency, reproducibility, and fairness will be fostered by a step-wise integration of existing and newly developed services into the overall system. With this paper, we want to engage with the community and understand the needs and challenges of researchers in various disciplines regarding data science and AI. Therefore, we will discuss the currently developed prototypes and outline our plans for future development steps.  

KW - Informatics

KW - Enabling RDM

KW - Linking RDM

KW - Fair

KW - FDO

KW - Business informatics

UR - https://www.tib-op.org/ojs/index.php/CoRDI/issue/view/12

UR - https://www.mendeley.com/catalogue/52b2ee09-6b05-3593-89b5-142724b82688/

U2 - 10.52825/CoRDI.v1i.391

DO - 10.52825/CoRDI.v1i.391

M3 - Conference abstract in journal

VL - 1

JO - Proceedings of the Conference on Research Data Infrastructure

JF - Proceedings of the Conference on Research Data Infrastructure

SN - 2941-296X

T2 - 1st Conference on Research Data Infrastructure

Y2 - 12 September 2023 through 14 September 2023

ER -