More than just a number: the changing face of bibliometrics at UML

Bibliometrics have advanced beyond simple citation counts and questionable indicators: we must find ways to leverage publication information that advances research practices.

We’ll demonstrate how recent contributions to strategic University projects have driven significant developments in our use of data: providing indicators of future research directions and potential collaborations rather than static number counts.

Metrics are only useful if they’re accessible, relevant and meaningful. Generative AI tools like ChatGPT have introduced new opportunities for embedding complex interrogation of data and advanced visualisations into our service offer. We’ll share our initial experiences using AI tools, how these have influenced our ways of working, and exciting possibilities for providing a truly bespoke and responsive research intelligence service to the University.