Exploring Alternative Socio-Technical Systems for Careful Data Work in Recovery Contexts
Caroline Claisse, Alison K. Osborne, Elizabeth Sillence, Angela Glascott, Alisdair S. Cameron, Abigail C. Durrant
摘要
Non-profits such as voluntary and community-based (VC) organisations are facing increasing pressures to engage in data work to sustain themselves. They face challenges with practices, information systems and tools associated with capturing data for supporting service provision. Most recently, researchers working with VC organisations have turned to Feminist and Care discourses to envision alternatives to current socio-technical systems whereby their values and purposes do not match with those of non-profits, consequently pulling the latter away from their socially driven mission. We report on a longitudinal, collaborative study with a UK-based mental health peer support organisation that created innovative tools as a means of navigating current pressures to practice data work for the quantification of mental health service provision. We present findings from interviews conducted with our community partner and share how recovery work has informed careful data practices, offering recommendations for supporting data work in mental health recovery.
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