Creative Data Analysis edited by Helen Kara, Dawn Mannay and Alastair Roy
Call for chapter proposals, max 500 words, by 31 December 2021. Please send to: email@example.com
The primary audiences for this edited collection will be Postgraduate Researchers and Early Career Researchers and it will also be a useful resource for Masters’ students, practice-based and mid-career researchers. Policy Press has worked with us on this call and expressed an interest in seeing a proposal for the collection.
Increasingly researchers, practitioners, and students are working with data in creative analytic ways, whether their data was creatively or conventionally gathered. Therefore, this ‘how-to’ edited collection, setting out ways to adapt, or devise, a method of creative data analysis is a much-needed resource.
We are interested in international proposals from all disciplines, and transdisciplinary work is welcome. Analysis may be of quantitative, qualitative or mixed data. We use a broad definition of ‘creative’ to include arts-based, embodied, lateral thinking, participatory, technological, multi-media, and other such approaches. ‘Analytic work’ can include methods of sense-making beyond working solely with data, and we do not necessarily regard data analysis as something that comes in between data generation and research reporting. We are open to chapters offering a creative approach to a specific aspect of analytic work, rather than a complete method.
The analytic method you showcase in your proposal does not have to be entirely new; it may be a creative adaptation of a method which is already well covered in the literature. However, we will not accept any proposal which simply uses an established analytic method in a new context or discipline. Previous publication in an academic journal will not be a barrier to inclusion, though we would expect you to reference relevant work in your proposal. Most of all we want this to be a book others can learn from and put to use. We will be asking authors to consider the following points as they write (though not necessarily in this order):
- Describe the aims of the project in which the approach was developed and/or used and what you want to achieve, including the role of theory if relevant.
- Describe your creative analytic process in enough detail for someone else to be able to try it out, using a case example approach to show how and why you made the decisions you made and their consequences.
- Explore your understanding of the relationship between creativity and working systematically.
- Describe the ethical considerations in the development of your analytic method and show how you addressed them.
- Explain how your analytic process linked your data to your findings.
- Outline the strengths and limitations of your creative analytic method.
- Include any challenges you experienced as you developed the method and explain if and how you overcame them.
- Describe ways in which the method might be developed further.
- Outline other possible uses, applications or adaptations of the method.
We are open to proposals that take a different approach, as long as the result is that a reader could learn about the how and why as well as the what of your method.