Collaborative Autoethnography data analysis

Last month I wrote about my thoughts on Collaborative Autoethnography. This year I have been leading a small project looking at the publication practices of Japan-based scholars (those who teach/research at university-level). There are 8 of us selected on the basis of gender, ethnicity, and experience in publishing to try an get a cross-section of those who typically are engaged in English-related/Applied Linguistics research in Japan. We have come to the end of a long(ish) (6 month) period of sharing our narratives - in effect, co-constructing them - so now it is time to analyse the data. I have outlined some thoughts on this process on researchgate: https://www.researchgate.net/project/Publication-practices-of-Japan-based-EFL-scholars-Identifying-issues-and-solutions-through-Collaborative-Autoethnography-a-Pilot-study

In essence, there are 3 angles:
1. summaries of each 'frame' (themes)
2. summaries of each participant
3. comparison/contrast of participant features (experience, Japanese/non-Japanese, etc)

One consideration of 1. the 'frame' analysis is the importance of reading through the whole CAE to see if/when participants returned to previous frames, i.e. data reduction (summaries) of themes within a frame run the danger of missing out on data mentioned elsewhere.

Looking forward to the process now of analysing this data with my co-researchers.