In the session, different speakers will present the latest developments on the role of Scientific Knowledge Graphs in defining a framework to enable a seamless exchange of information between diverse initiatives. Information will be shared regarding different Scientific Knowledge Graphs, there will be feedback collection, and a chance for different stakeholders to engage and contribute. The group will:
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Share the latest initiatives in the data/article/software linking space, including the work Scholix did before concluding the work of the WG
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Provide updates on the development of the Research Link Australia graph, the DataCite PID Graph, and the SKG work done in the FAIRCORE4EOSC project
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Get input on the next steps for the community to reach the goals for the group:
The main Scientific Knowledge Graphs initiatives have started to form a community and have identified common goals and challenges.The challenges identified will translate into recommendations and standards, and protocols can be defined and implemented by members of the IG.
Introductions - Helena Cousijn (10 min)
Overview of work done by the SKG-IF WG - Andrea Mannocci (15 min)
The Reasearch Link Australia Graph - Amir Aryani (15 min)
The DataCite PID Graph - Mike Bennett (15 min)
FAIRCORE4EOSC - Paolo Manghi (15 min)
Group discussion (20 min)
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Data engineers and service providers working on SKG information models (e.g. Scholix.org, CERIF, Research Graph, OpenAIRE and PID Graph information models)
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SKG providers targeting specific end-users:
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Thematic graphs for scientists
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Citation graphs for scientists, communities, institutions, policymakers, funders
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Monitoring graphs for institutions, policymakers, funders
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SKG consumers: scientists, communities, institutions, policymakers, funders
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Groups interested in data/article/software linking (standardisation and adoption): publishers, repositories, researchers, funders
The goal of the Open Science Graphs Interest Group (OSG IG) is to build on the outcomes and broaden the challenges of the Data Description Registry Interoperability (DDRI) and Scholarly Link Exchange (Scholix) RDA Working Groups to investigate the open issues and identify solutions towards achieving interoperability between services and information models of Scientific Knowledge Graph (SKG) initiatives. The aim is to improve FAIRness of research data, and more generally FAIRness of science, by enabling the smooth exchange of the interlinked metadata required to access research data at the level of discovery-for-citation and at the level of the discovery-for-reuse. Such FAIRness and interlinkedness provide strong support for research integrity and research innovation.
The OSG IG group is active and meets quarterly. It aims to encompass and provide updates and a forum for discussion on the outputs of the Scientific Knowledge Graphs - Interoperability Framework (SKG-IF) WG. As of October 2023, it has also folded in updates from the Scholix WG which is working on the continued adoption and growth of article/data linking and the inclusion of software into that standard metadata schema.
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