Agenda

As the volume and complexity of global research outputs continue to grow, the way scholarly data is structured and categorized has become a strategic foundation for trustworthy discovery, evaluation, and decision making. Poorly structured or inconsistently categorized research data can lead to incomplete results, misleading analytics, and flawed comparisons, even when analyses appear technically sound.

Based on insights from the Institute for Scientific Information (ISI) report “Research categorization and the value of structured data”, this webinar explores why rigorous data curation, stable classifications, and rich metadata are essential for meaningful research intelligence. We 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.

Language: English

Registeration Link

Agenda:

Learn how Clarivate is harnessing AI capabilities to empower users to:

• Enhance student learning and streamline research.

• Boost information literacy.

• Increase engagement with the Ebook Central collection.

Language: English

Register Link

At the end of the session you will be able to:

• Assess the details on ProQuest Dissertations & Theses Global (PQDT Global)

• Use the best practices for searching information

• Locate additional ProQuest Support resources

Language: English

Registration Link