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This paper is about our experiences of working with clinicians to create and use an archive of 'training cases' as part of a research project aimed at developing training tools to support cancer detection in the UK breast screening programme. As the project progressed we became increasingly interested in how the clinicians learned about the character of the archive as they worked with its contents, and the ways that this work shaped the archive in ways that typically lead to heterogeneity and uneven data quality. Critically examining our approach to training cases curation and use with resilience engineering concepts in mind revealed significant bottlenecks rooted in normative assumptions relating to authority over content, completion of training sets and batch modes of working. We argue that social approaches to curation offer more promising ways of mobilising complex data that can both overcome bottlenecks associated with conventional approaches as well as capitalising on learning in use.

Learning From Experience: Maintaining Flexibility In The Production Of Training Materials To Support Breast Cancer Screening