NFDI4DS Gateway and Portal

Ricardo Usbeck, Tilahun Abedissa Taffa, Rudy Alexandro Garrido Veliz, Rana Abdullah, Najeebullah Shams, Bianca Wentzel, Zongxiong Chen, Sonja Schimmler
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Abstract

©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.  
NFDI4DS网关和门户
©NFDI4DataScience (NFDI4DS)是一个联盟,旨在支持研究数据生命周期各个阶段的研究人员按照FAIR原则进行研究。开发的基础设施面向来自数据科学和人工智能领域广泛学科的研究人员。提出了NFDI4DS网关和NFDI4DS门户的概念。从各种NFDI4DS资源(如ORKG、DBLP数据库和其他研究知识图)中导航数字对象(文章、数据、机器学习模型、工作流、脚本/代码等)的两种方法。通过将现有和新开发的服务逐步整合到整个系统中,将促进透明度、可重复性和公平性。通过本文,我们希望与社区互动,了解数据科学和人工智能各学科研究人员的需求和挑战。因此,我们将讨论目前开发的原型,并概述我们未来开发步骤的计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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