Making sense of bibliometric data: the importance of context
The research community is experiencing an age of exponential research publications production. The rise in the volume of research publications paths the way for an abundance of providers of research publications data. However, not all data sources are created the same and the distinction between data characteristics are increasingly becoming blurred.
This webinar explores why structured, curated, and normalized research activity data is essential for trustworthy research intelligence. Drawing on the latest report from the Institute for Scientific Information (ISI) findings, we examine how standardized metadata, multi layered categorization, and like for like indicators enable faster discovery, fairer evaluation, and more confident decision making across the research lifecycle.
In this webinar, you will learn how:
- Structured categorization improves recall and precision in literature reviews and horizon scanning
- Normalized indicators enable fair, like for like comparisons across fields, time, and collaboration types
- Topic level analytics connect research capability, collaboration, and impact
- Cross content alignment supports translational pathways, funding strategy, and impact narratives
- Methodologically sound data foundations underpin defensible dashboards, benchmarking, and policy decisions
