The collective data interpretation (CDI) process is a very important step to make data as valuable as possible to all participants of CSS research. Knowledge obtained from qualitative and quantitative data is never neutral and surely leads to rich and diverse conclusions which can represent the variety of perspectives within a group of Co-Researchers or within the different organizations involved.
CDI invites a small group of participants on a journey to discover data collected in a crowdsourced manner by a large number of people. The sessions leave space to collectively discuss the meaning of the data collected. The sessions help to learn about the patterns and profiles behind the citizen scientists that contribute to the data in a crowdsourced manner and then better understand the potential and the limits behind the knowledge produced through a data interpretation process. The sessions help to identify and discuss the most relevant results according to group or individual perspectives. They build up a common narrative of the data results and co-produce knowledge able to deliver evidence-based policy recommendations or enable collective actions. The sessions also enrich citizen-generated data, which generally have a quantitative analysis, with qualitative and individual perspectives.