The final event of the citizen science data governance pilot project was held at the Catalan Institute of Advanced Architecture (IAAC) on 30 September.
This pilot project forms part of the European project “Decentralized Citizens Owned Data Ecosystem (DECODE)”.
The main aim of the citizen science data governance pilot project was to demonstrate the technology developed by DECODE, within the context of the internet of things (IoT). Two main lines of action were implemented to do so, one of a technical nature, and the other concerning working with the community.
On the more technological side, the DECODE technology was integrated into the Smart Citizen infrastructure, an international scale tool that uses open-code sensors to measure noise and atmospheric pollution, among other indicators. This integration has enabled the community to compile, encrypt, and store the collected data, while also allowing them to decide which information they will share, with whom, and under what conditions.
At this event, participants shared their experiences of how the pilot project had changed their perception of the use of data, and the advantages of using DECODE technology. They were also able to analyse the environmental data collected by their devices during this period.
A series of meetings were held during the first months where participants co-designed policies for sharing the data provided by the sensors within their community. The sensors were developed and made available to the participants by the DECODE Consortium, led by the IMI. There was then a three-month period during which community members had the sensors installed in their homes collecting data on noise and pollution, which was then shared according to the previously established conditions. They were also able to examine their data and detect the first patterns, thanks to the BarcelonaNow platform.
The event marked the end of a pilot project in which the participants debated, designed, experimented, and analysed matters concerning privacy and criteria for sharing the data collected in their homes using environmental sensors.