This session is designed to build your advanced literature searching skills for your research projects.

In this session, you'll learn how to select the right databases and information sources, utilise advanced search functions, and manage your search techniques to suit your specific needs. We'll also cover comprehensive search strategies to help you situate your project within the existing literature and locate elusive materials.

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This session will build your understanding of systematic and scoping reviews, as well as other evidence syntheses in the Health and Sciences disciplines. You will learn about different types of reviews and techniques for systematic searching, translating searches across databases, searching for grey literature and strategies for minimising bias in reviews.

Please note that a prerequisite for this session is an understanding of advanced database search functions, including subject headings, proximity searches, and line-by-line searching. This content is covered in the Advanced literature searching workshop.

This workshop is particularly useful for researchers and graduate researchers from the Health and SEBE faculties who are planning to conduct a systematic review or other evidence synthesis.

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This session is designed to help you develop an effective publication strategy. You'll learn how to select publishers and journals that align with your goals and priorities, understand the individual and societal benefits of publishing research openly, and explore various routes for open access publishing. You'll also discover how to use different tools to find and evaluate relevant journals, including understanding journal metrics and rankings, and identifying ‘red flags’ in the scholarly publishing landscape.

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This is an insightful session designed to enhance your understanding of the responsible use of generative AI tools in research. This session will emphasise the importance of staying aware of and complying with relevant policies and guidelines. You'll explore various case examples of genAI use across different stages of the research life cycle and learn about key considerations for selecting and utilising genAI tools in your research.

This workshop is valuable for researchers and graduate researchers from any discipline. You may also find it helpful to read our responsible use of genAI in research guide before or after the session.

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This hands-on 90-minute workshop complements the research data management at Deakin online module. It’s designed to help you make sense of your data responsibilities and take the next steps in managing data well throughout your research project.

You'll explore real-world challenges, reflect on your current practices, and practise using Deakin's Research Data Planner and Research Data Store.

This workshop is suitable for all graduate researchers, regardless of discipline or stage.