Creative research methods for data generation have expanded over recent decades and researchers are eager to take a creative approach to data analysis.


It is challenging to bring creativity into data analysis while retaining a systematic, rigorous, and ethical approach. Written by experts in the field, this handbook addresses these challenges. The chapters adapt analytical techniques in creative ways for novice and expert researchers. Existing and novel methods from analysis of quantitative data to embodied, performative, visual, written, arts-based, and collaborative analysis are featured with case examples that are transferable across disciplines.


This collection offers a definitive practical guide to creative data analysis.

Contributions by: Alex Morgan, Emmajane Milton, Andrew Davies, Amie Hodges, Anuja Cabraal, Charlotte Barratt, Chloe East, Claire Coleman, Kate Carruthers Thomas, Katherine Broomfield, Kyla Tully, Lauren White, Adam Carter, Katherine Davies, Louise Couceiro, Mar Estupiñán Fdez. de Mesa, Melvina Woode Owusu, Makeda Gerressu, India Henry, Chantel Sealey, Gwenda Hughes, Catherine Mercer, Melanie Roberts, Anne Collis, Naomi Clarke-Mordy, Nicole Brown, Rachel Kurtz, Shehr Bano Zaidi, Stuart Neilson, Neil Kenny, Louise Gascoine, Kate Wall, Steve Higgins, Laura Mazzoli Smith, David Duncan, Lauren Gawne, Jacqueline Dodding, Hazel Partington, Dawn Wink, Karen Gray, Emma Lazenby, Erin Roberts, Merryn Thomas, Karen Henwood, Nick Pidgeon, Jacquie Ridge, Jessica Mannion, Kathryn Coleman, Abbey MacDonald, Peter Cook, Sarah Healy, Karen Hammond, Nick Fuller, Jennifer Leigh, Jennifer Hiscock, Sarah Koops, Anna McConnell, Cally Haynes, Claudia Caltagirone, Marion Kieffer, Emily Draper, Anna Slater, Kristin Hutchins, Davita Watkins, Nathalie Busschaert, Larissa K.S. von Krbek