Supporting Open Science – A Knowledge Graph Research Infrastructure
Organiser:
Leibniz Universität Hannover
About the session
Scientific Knowledge Graphs provide the means for a structured representation of information and thus facilitate Open Science by connecting scholarly artefacts. The represented information range from research artefacts (e.g. publications, data, software, samples, instruments) and items of their content, research organisations, researchers, services, projects, funders and more. Currently Knowledge Graphs are implemented as Research Infrastructures addressing, each of them comprises information from various sources, connecting and enriching these information. The federation of Knowledge Graphs would provide various benefits serving the development of an integrated RI ecosystem.
Relevance for EOSC
The session aims to illustrate the potential of Scientific Knowledge Graphs itself and the additional benefits of a federated landscape. The goal of the session is to stimulate the discussion about policy and funding measures to activate the potential for the developments towards a federated Science Knowledge Graph research infrastructure. A panel of dedicated experts in the field will discuss how Knowledge Graphs are supporting the implementation of Open Science policies, how Knowledge Graphs increase the machine-actionability of research outputs, and finally how Knowledge Graphs can be federated into an integrated research infrastructure and what the benefits of this integrated research infrastructure for the science domain are.
Agenda
Timing | Topic | Speakers |
15:00 | Welcome, Motivation and Agenda | Jan Wieblitz (L3S, Leibniz Universität Hannover, DE) |
15:05 | In this session four different use cases of Knowledge Graphs will be presented: OpenAIRE Research Graph DataCite PID Graph CERIF Graph Open Research Knowledge Graph | Paolo Manghi (CNR, IT) Gabriela Mejias (DataCite) Jan Dvořák (Czech Technical University, CZ) Markus Stocker (TIB, Hannover, DE) |
15:55 | A presentation about the RDA Open Science Graphs for FAIR Data Interest Group Open Science Graphs for FAIR Data | Paolo Manghi (CNR, IT) |
16:10 | Panel Discussion Topic: how a knowledge Graph infrastructure can support the implementation of Open Science | Moderator: Jan Wieblitz (L3S, Leibniz Universität Hannover, DE) |
16:30 | End |
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