Beyond concept analysis: Uses of mind mapping software for visual representation, management, and analysis of diverse digital data

Mind mapping is a visual-spatial method of representing information using nodes (information segments) to show ideas and connecting lines to define relationships between content. As a critical thinking tool, it is applicable to a range of research activities, including information management, project development, and data analysis. The purposes of this manuscript are to describe the use of mapping for qualitative data analysis, provide step-by-step instructions of how to construct mind maps, and present examples specific to qualitative data analysis. An example from a recent study of patient and provider perceptions of virtual visits demonstrates the use of Xmind in conjunction with Atlas.ti for qualitative content analysis of open-ended survey data. While coding in Atlas.ti, we used Xmind to develop dynamic memos, code networks, and themes. The memo map served to identify common coding patterns and informed subsequent coding stages. After coding in Atlas.ti, the entire code list was imported into a new map in Xmind and iteratively organized to identify conceptual groupings, similarities/differences, and key ideas. Themes were identified through pattern coding and refining code networks within the Xmind map. Map iterations formed part of the analytic trail and facilitated peer-to-peer discussions. The final map served as the model for publication. The use of mind mapping enhanced the rigor, credibility, and transparency of analyses and facilitated peer-to-peer communication. This technique can be used to manage diverse content (documents, audio/video file, image, web links, and personal notes) and thus has great potential to contribute to a variety of data management tasks.