This is a preprint version of a chapter to be published in Library Catalogues as Data: Research, Practice, and Usage (Facet Publishing), co-edited by Prof. Melissa Terras and Dr. Sarah Ames.Versión 1. https://hdl.handle.net/10481/91334
Versión 2. https://hdl.handle.net/10481/92547This paper explores the transformative role of ChatGPT in enhancing bibliometric research methodologies across various stages of academic study. It discusses the application of ChatGPT in bibliometric studies across five core research stages: preparation and consultation, data processing, data analysis, results interpretation, and scientific writing. Highlighting ChatGPT's versatility, the paper showcases its utility in streamlining data handling, enhancing analytical depth, and facilitating scholarly communication. With capabilities ranging from querying external APIs to customising responses for specific research needs, ChatGPT may aid the efficiency and efficacy of bibliometric research. Ethical considerations are also discussed, advocating for the integration of ChatGPT to uphold high ethical standards and improve research integrity
