Sharing and triangulating sensitive qualitative data
This unconference will address two things regarding sensitive qualitative data: sharing such datasets for scientific (and other) reuse, and triangulating interpretations of such datasets by means of approaching them from different perspectives. The unconference starts with a short presentation about the challenges and solutions in our ongoing longitudinal project involving qualitative mental health data of minors and adults, across multiple countries such as Finland, Korea, and Slovakia. The presentation is followed by showing examples where participants of the unconference can test and reflect on specific anonymisation decisions. We end with a discussion about how a chosen qualitative analytic approach always leaves some known information hidden and thus leads to an outcome paradox: unlike in many quantitative analyses where each test can be shared via code, qualitative analyses necessarily leave some interpretations hidden and unreported—how we deal with that?