
This is a poster that was presented at the Open Science Conference in Hamburg 2025. Annotation: The EOSC Open Science Observatory is a policy intelligence platform that tracks and visualizes the progress of Open Science across Europe. It offers stakeholders, from policymakers to practitioners, access to trustworthy data on Open Science policies, practices, and impacts. This demo will offer a hands-on exploration of the EOSC Open Science Observatory dashboard, guiding participants through its latest data visualization features. Participants will learn to navigate the platform’s new features that visualize key OS dimensions, from Open Access to FAIR data, infrastructure, and skills. A highlight of the session will be the European Open Science Resources Registry, an integrated component of the EOSC Open Science Observatory. This AI-enhanced registry curates essential documents (including policies, strategies, and best practices) and supports advanced search and classification using Natural Language Processing (NLP) and Machine Learning (ML). Participants will discover how these technologies automate document retrieval, extract metadata, classify content, and produce summaries, enhancing discoverability and understanding of Open Science efforts across Europe. After this demo, participants will: learn to explore and interpret Open Science indicators using the EOSC OS Observatory understand how the European Open Science Resource Registry streamlines access to key policy resources get involved in the discussion how AI tools support smarter, more connected Open Science governance This demo bridges technology and transparency, showcasing how AI and open infrastructures can reinforce the core principles of Open Science.
| 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 |
