Parity-based cooperation in Citizen Science projects has become a beneficial for both, citizens and scientific partners. Civil society actors no longer serve as mere data collectors. More active formats of participation, including the involvement in and the design of the entire research process are now explored.
The Citizen Science Group is doing foundational research on Citizen-Science-related topics. Besides the question of how citizens and scientists can be engaged in joint projects and work together, data science aspects of Citizen Science are at the core of our research. A question that concerns us is how Citizen Science projects can be properly designed and implemented in order to create data and results which are relevant and meaningful for answering pressing research questions. How can data be collected, described and provided in such a way that they can be found, interpreted, integrated with related data sources and used by other (citizen) scientists? How can we safeguard data quality and reliability, and how can we make sure that data are collected, e.g. in the required accuracy and resolution? How can both scientists and layman be empowered to gain knowledge and insights from data?