
I am delighted to say that The Handbook of Creative Data Analysis was published this month. It’s a chunky tome with 29 substantive chapters, each outlining a creative method and its implications, plus introductory and concluding chapters by the editors.
Here’s how it came about. I first wanted to do this book in 2016. I knew it wasn’t a book I could write myself unless I could get some funding to research it – I applied for a grant from Leverhulme in 2017, for which independent researchers were eligible, but I was unsuccessful. I didn’t think it was a book that could be co-written, either. I thought of an edited collection, but wasn’t confident of doing that well enough on my own. And I didn’t have any good ideas about who to ask to co-edit with me.
Then in February 2021 I chaired a webinar on creativity in research for Policy Press with Dawn Mannay (Professor of Creative Research Methodologies at Cardiff) and Ali Roy (Professor of Social Research at UCLan). I already knew them both and it was a pleasure to do the webinar with them. We were surprised by the number of questions about data analysis, and after the webinar it occurred to me that they would be good co-editors for the book I had in mind. Then I considered their busy academic lives and figured they probably wouldn’t be interested. Then I thought I could just send an email to ask – nothing ventured, nothing gained… and they both said yes!
We decided Policy Press should publish the book and we put together a call for proposals. At this stage we were envisaging a standard-sized book with maybe 12 chapters. What we weren’t envisaging was around 60 proposals, most of which were really good. So we asked Policy Press if we could do a Handbook instead and they said yes. (Around this time I had also been asked to edit the Bloomsbury Handbook of Creative Research Methods. Fortunately I was able to divert a lot of the good proposals we couldn’t fit into the Policy Press Handbook to the Bloomsbury Handbook, so we didn’t have to reject too many outright.)
The process of editing this Handbook was a joy for several reasons. Dawn and Ali were great to work with – we named ourselves ‘good cop’ (me), ‘bad cop’ (Dawn), and ‘ambivalent cop’ (Ali)! I wanted to say yes to as much as possible, Dawn had a keen eye for quality standards, and Ali was great at seeing the merits of, and balancing, different arguments. And the combination of those three attributes was, in practice, greater than the sum of its parts. Then our contributors were, without exception, terrific, responsive, collegial people to work with. And Policy Press were thoroughly supportive throughout.
The part I liked best, though, was the learning. Each individual chapter held fascinating lessons and made me want to have a go at doing analysis with emojis, or reflective stitching, or word clouds. But there were some overall learning points, each made by several authors, that I found particularly interesting. The first is that any data can be analysed creatively: quant or qual, conventionally collected or creatively generated. The second is that analysis is not a discrete phase of research which falls between acquiring data and reporting results. Analytic work begins at the design stage of research and continues through dissemination and beyond. The third overall learning point is that doing analysis differently helps us to find new insights, learning, and understanding. The fourth is that analysing data often requires creativity, whether or not this is explicit.
Researchers use tacit as well as acknowledged creative practices to support their analytic work, and this is highlighted in several chapters. These tacit creative practices have always fascinated me. When I get stuck in the analytic mire, I write poems or create diagrams to help me move forward. Sometimes only half a poem or diagram, and my analytic poems never see the light of day though occasionally my diagrams do. But these techniques help my analytic thought processes. I was interested to discover other tacit creative practices, such as visual arts (doodling, drawing, collage etc), making (models, installations etc), music (to accompany and promote thought), and embodied practices such as walking, running and swimming. No doubt there are others too.
The fifth overall learning point is that analytic processes do not need to be fixed or rigid. This book demonstrates, in many ways, that analytic work can be experimental, playful, and fun.
At present the book is only available in hardback and digital versions. The digital version is much cheaper than the hardback, and you can get a 25% discount on either version by signing up to the publisher’s e-newsletter. If you are at college or university you should be able to get hold of a copy from the library. And there will be a paperback in due course. I am so happy that this book is out in the world because I think it will help a lot of people.



















