Connecting Your Research Findings with Protolyst

In this tutorial, we delve into the world of Protolyst, a powerful networked knowledge app designed to revolutionize the way you collect and organize your research findings. Protolyst allows you to connect individual pieces of knowledge, enabling you to identify patterns and themes in your data effortlessly. By developing a coding frame and collating crucial insights from various sources, you can build an interconnected network of knowledge that accelerates progress in your projects. Protolyst is a must-try tool for researchers seeking to streamline their qualitative analysis and make data management more efficient.

Learn from our speakers, Richard Barnes and Dr. Maddy Nichols, how to efficiently collect, organize, and analyze knowledge. Protolyst, a groundbreaking networked knowledge app, takes knowledge management to the next level.

The Q&A session includes University of Southampton experts: Drs. Nicholas Dacre, Hao Dong, Mohammed Al-Mhdawi and David Baxter.

About the Speakers

Dr. Maddy Nichols is the Commercial Director & Cofounder of Protolyst. Following a PhD Maddy moved into startup operations, experiencing first hand the challenges of efficiently organising knowledge and insights.

Richard Barnes is the CEO & Cofounder of Protolyst. Richard built the Protolyst app and continues to lead development working closely with researchers, including through workshops in collaboration with the University of Southampton.

Additional Resources

Protolyst is free to try and you can get 20% off a Pro Subscription with the code SAGE20.

For Workshops, 1-2-1 Walkthroughs or Feedback, please click HERE, or email Protolyst.

Literature review workflow


Q&A

+ With citing and referencing, does it work with reference managers like EndNoote, Zoterro and RefWorks?

Protolyst does have doi and bibtex import, together with automatic citation extraction, and we are interested in exploring direct integrations with these platforms.

+ Can you sort the data by age of participant and another demographic like gender? I'm trying to see how this compares to NVivo?

Yes, that's the beauty of the Tables in Protolyst - you can use a range of property types such as numbers, dropdowns and text associated with your pages. You can then add sorts and filters that leverage these properties so you can work with your data in distinct "views".

+ Would the highlight option work with pdf files, such as papers?

Yes, it will work with PDF files, they are our primary file type. Specific to papers, we have citation functionality that automatically extracts citations from papers so you can also generate bibliographies using Protolyst. These citations are also reflecting in your outputted reports like just showed. Other file types supported: YouTube videos (so you can "atomise" the recording of this session!), web pages, word docs, PowerPoint files.


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