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</script>In this workshop, SciLake representatives elaborate on the mission of building a comprehensive scholarly communication graph and the technical solutions under development. Representatives from key ESFRIs present their ongoing work on the creation and maintenance of domain-specific SKGs, their current needs and identified challenges. By exploring the initiatives of these projects, we aim to provide insights into the usage of SKGs in Open Science activities and the impact they have on research output and collaborations. This workshop investigated the potential cooperation and common goals of these initiatives in the creation of multidisciplinary interlinked SKGs. In addition, the importance of the scientific lake concept will be discussed, as well as its impact on different research communities. The session provided participants with an opportunity to engage with the speakers and provide feedback on their work, as well as to examine how SKGs will impact their research outputs and assist them in responding to the Open Science requirements. Key learning outcomes: Learn about the creation of Scientific Knowledge Graphs, specifically how to convert data into knowledge and how to use them to promote Open Science to improve navigation and discovery. Discover the challenges associated with delivering high-quality SKGs in terms of coverage, timeliness, accuracy, and consistency, where and how good curation practices and AI come into play. Learn about the various needs and efforts coming from different disciplines: Research Infrastructures (neuroscience, biodiversity, photon/neutron), national infrastructures (cancer), and emerging research communities (transport, energy) .Explore how diverse SKGs and projects can work together to create interconnected multidisciplinary SKGs. Learn about the concept of a scientific lake, the services it can provide to the SKG community, and the impact it has on various research communities.
SKGs, Research Infrastructure, Open Science
SKGs, Research Infrastructure, Open Science
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 10 | |
| downloads | 19 |

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