> For the complete documentation index, see [llms.txt](https://alex-shermon.gitbook.io/rcs-nvivo/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://alex-shermon.gitbook.io/rcs-nvivo/master.md). # Research Computing Services Digital Support Packs ## Welcome to Research Computing Services {% embed url="" %} An introductory video that highlights what we do at the University of Melbourne {% endembed %} ## Using this Resource This Digital Support Pack is intended as a resource to help students learn new digital tools and skills online. At Research Computing Services, we coordinate communities for a wide variety of digital tools for researchers. This Digital Support Pack is for NVivo. NVivo is software that helps researchers manage mixed-methods and qualitative data. This support pack is split into several modules which can be completed either as a self-paced self-learning lab, or with the facilitation of a trainer via webinar software such as Zoom. ## What is Blended Learning? Blended learning is the combination of traditional student-centred in-class learning with other complementary learning methodologies. This resource is currently intended as an accessible alternative to in-class learning which has been made unavailable due to COVID-19. The modules blend written guides, engaging videos, and hands-on challenges. Online webinars aim to provide hands-on support and to reinforce the content of the modules. The in-class workshops focus on problem-based group challenges - which we hope to have maintained on this online resource. ## Our Philosophy We believe in community and empowering researchers. We believe in researchers helping researchers, and working smarter not harder. We avoid teaching as a death by PowerPoint, and we don't want you to learn new digital tools by watching a screen. Instead, we have faith in our students and focus on a problem-based pedagogical approach. Learning new digital tools can be hard, especially when your research interests and methodologies are diverse and complex. As such, we firmly believe in supporting and empowering communities of researchers to help each other. Our trainers cannot answer all the questions that you might have about the applicability of digital tools to your research, but we hope that by creating a community of researchers that someone might be able to help you out. ## Community Our goal at Research Computing Services is to build communities of digitally empowered researchers at the University of Melbourne. Traditionally, we have created communities by running social events, and offering pathways for researchers to involve themselves in our communities. These community leaders we refer to as ResLeads, and over the years they've been involved in taking the lead on running meetups where we teach advanced digital skills, and in connecting with specific faculties at the University to tailor the tools to their needs. Online, things are a little different and this is certainly new territory for us. For NVivo, we have set up a Facebook group where you can (hopefully) ask questions and receive help with the modules and other questions that you might have as a researcher. You can join that community [here](https://www.facebook.com/groups/unimelbnvivo). There is also a monthly NVivo newsletter to keep you up to date with what is happening in the community, and if there are any upcoming social events and opportunities. You can sign up for the newsletter [here](https://resbaz.us20.list-manage.com/subscribe?u=327379730541e10b4f7d8e236\&id=f45691e329). --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://alex-shermon.gitbook.io/rcs-nvivo/master.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.