Discover how generative AI tools such as Microsoft Copilot Agents and Custom GPTs can support the development of database search strategies for systematic and scoping reviews. In this course, you will gain a practical overview of AI-assisted database searching and learn how to use AI effectively to draft, refine and translate search strategies while maintaining transparency, reproducibility and research rigour.
The session will demonstrate how an AI knowledge base can be built to follow database-specific guidance, such as Ovid MEDLINE, Embase, Emcare, PsycINFO, CINAHL, Scopus and Web of Science. You will also learn how to review AI-generated search output, identify common issues, and understand when librarian advice is needed before finalising and running a search.
Web conference
|
Jeph Ko |
Researchers and HDR students who are developing database search strategies for literature reviews, systematic reviews, scoping reviews or other structured evidence reviews.
Basic experience with database searching, including subject headings, truncation, Boolean logic and database syntax. To learn more, visit Library’s Search Guides, on topics such as ‘Beyond the basics’, ‘Specialised searching’ and ‘Find specialised sources'.
Please remember if you can't attend a course anymore please unenrol yourself or move to the waiting list so others can attend.
To be notified of upcoming events, you can add your name to the waiting list.