Clarivate invites all interested participants to their hungarian webinar, which explores why rigorous data curation, stable classifications, and rich metadata are essential for meaningful research intelligence.
Details of the webinar:
Date & Time: 27 May (Wednesday), 2026, 10:00-11:00 AM CEST
During the session they will examine concrete examples of how weak or incomplete data structures can distort citation analysis, benchmarking, collaboration indicators, and performance assessments, and how structured approaches such as subject normalization and time-aware metrics help mitigate these risks.
Participants will gain a deeper understanding of how high-quality research data supports reliable search and discovery, enables fair and responsible analytics, and strengthens evidence-based decisions for institutions, funders, and policy makers. The session will also discuss practical implications for research evaluation frameworks, strategic planning, and the responsible use of metrics in a rapidly evolving scholarly ecosystem.