De-identifying qualitative data poses unique challenges given their structure and contextual richness. As the sharing of qualitative data is becoming more common, reliably de-identifying such data is crucial because participants in qualitative research projects commonly receive assurances of confidentiality. This webinar brings together speakers from three different groups working on de-identifying – and sharing – qualitative data to talk about their methods and tools.

confidentiality data anonymisation qualitative data

Amy Pienta / Kuula-Luumi, Arja / Smith, Brenae / Nicolai, Tom / Mozersky, Jessica / DuBois, James

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