Typically, interviews are transcribed to enable coding and analysis of the data to establish the research findings. However, where discourse is not central, Carina argues that mind mapping is a valuable tool to identify relationships and differences across large datasets. Indeed, mind maps can be highly time beneficial providing a close and intimate reading of the data and enabling the researcher to make sense of the emerging themes, particularly for large data sets typically collected through multi-sited research, or smaller research projects with limited resources. Drawing on her article Mind mapping in qualitative data analysis: Managing interview data in interdisciplinary and multi-sited research projects, Dr. Carina Fearnley asks us to think out-of-the-box when it comes to data analysis.
Carina Fearnley is director of the UCL Warning Research Centre and Associate Professor of Science and Technology Studies at University College London. She is an interdisciplinary researcher, drawing on relevant expertise in the social sciences on scientific uncertainty, risk, and complexity to focus on how natural hazard early warning systems can be made more effective, specifically alert level systems. She also has interest in the transdisciplinary potential of art and science collaborations around environmental hazards. Carina established the World Organisation of Volcano Observatories Volcano Alert Level Working Group, and edited the first publication dedicated to Volcanic Crisis Communication (Observing the Volcano World: Volcanic Crisis Communication). Carina frequently appears on national and international media following significant hazard events.