Academic librarian | Evidence synthesis researcher/collaborator | AI and research literacy researcher

Lorraine Rose is an academic librarian and emerging researcher with expertise in evidence synthesis, systematic searching, AI literacy, research information support and researcher capability development. She collaborates with multidisciplinary research teams on scoping reviews, systematic reviews and other evidence syntheses, with particular expertise in developing comprehensive, reproducible literature search strategies.

Her work spans research methodology support, scholarly communication, artificial intelligence in research and education, research data management, open research and information literacy. She is particularly interested in the evolving role of academic librarians as research collaborators and in practical approaches that strengthen the quality, transparency and reproducibility of research.

Lorraine is a Faculty Librarian at Charles Sturt University. Her professional practice includes evidence synthesis, systematic searching, research support, scholarly communication, research data management, open research and researcher education.

She works with academics, higher degree research students and research teams across a range of disciplines, particularly health and veterinary sciences. Her role includes translating research questions into effective search strategies, advising on review methods, supporting database and grey literature searching, and contributing to the documentation and reporting of search methods.

Where contributions meet authorship criteria, Lorraine collaborates as a co-author on evidence syntheses and contributes methodological and searching expertise to review protocols and publications.

Lorraine’s research interests include:

• evidence synthesis methodology
• systematic and scoping review searching
• research information literacy
• academic librarians as research collaborators
• artificial intelligence and generative AI in research and higher education
• AI literacy and critical evaluation of AI-enabled research tools
• research integrity
• research data management
• open research and scholarly communication
• information literacy and researcher capability development.

She is particularly interested in applied research that translates developments in evidence synthesis, information science and emerging technologies into practical approaches for researchers, students and academic libraries.

Lorraine designs and delivers education for researchers, academics and students in evidence synthesis, literature searching, scholarly communication, research data management and the responsible use of artificial intelligence.

Her teaching focuses on building practical research capability, including developing research questions, constructing reproducible search strategies, selecting and critically evaluating research tools, managing references and research information, and understanding research integrity, copyright, privacy and disclosure requirements associated with AI.

She has a particular interest in AI literacy as an extension of information literacy and in helping researchers and students make informed, critical and responsible decisions about the use of emerging technologies throughout the research process.