EOSC collaborative frontiers to achieve interoperability and enhance scholarly data
EOSC collaborative frontiers to achieve interoperability and enhance scholarly data
This unconference session included four presentations as part of the EOSC Symposium 2024 held in Berlin and explored advancements in scholarly data interoperability within EOSC. It examined the Scientific Knowledge Graph - Interoperability Framework (SKG-IF), a Research Data Alliance model for managing scholarly data, currently being utilized and enhanced in EOSC projects like GraspOS, SciLake, OSTrails, and FAIRCORE4EOSC. Representatives from research communities testing the framework offered insights on its specific applications: data and metadata management, FAIRness, research assessment, and research discovery. The session aimed to showcase collaborative efforts to enhance EOSC's data interoperability and gather community feedback on the SKG-IF development roadmap.
EOSC, interoperability, scientific knowledge graphs
EOSC, interoperability, scientific knowledge graphs
selected citations These citations are derived from selected sources.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
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