23 Provide training for city administration staff who are not familiar with the role of behaviour-related aspects of citizen science initiatives. Example training may include reaching diverse audiences, public engagement, evaluation, impact assessment, etc. Identify and promote best practices for the use of citizen science data and information. Develop and maintain an updated repository of citizen science projects that can be used as a showcase of the activities of the city in this area. This can be a part of a national or pan-European repository and needs to showcase scientific, educational, social, cultural, economic, political relevance of the initiatives. The EU-Citizen.Science platform is a good place to start building this repository. B P C B P C B P C Facilitate capacity building and knowledge sharing 8 6 7 Bürger schaffen Wissen platform Knowledge exchange between governmental organisations and citizen science initiatives - Sensor. Community and RIVM Example 2: Bürger schaffen Wissen platform The Bürger schaffen Wissen (citizens create knowledge, in English) is the central national online platform for citizen science in Germany. It was created in November 2013 as a repository of citizen science projects. Its main goal is to present, connect and support these types of projects while further increasing the visibility of the approach within the German public and discourse. Since 2020, it has also been working on the development of quality criteria and the impact of citizen science. The repository includes a search tool based on the project’s theme and the region where the project is being implemented. It also includes information about the social, scientific, or cultural impact of the different initiatives. See the full project Example 3: Knowledge exchange between governmental organisations and citizen science initiatives – Sensor.Community and RIVM Sensor.Community is a bottom-up initiative of citizens who seek to contribute to the creation of open environmental data. The community facilitates access to low-cost sensors, helps visualise the collected data. The main focus of the initiatives is on air quality (PM 2.5 and PM10) and noise monitoring. So far, its interactive map displays more than 17 billion data points from 14,000 sensors worldwide. The Dutch National Institute for Public Health and the Environment (RIVM) aims to increase data comparability across Europe and further integratecitizen science data into its databases. In collaborationwith other initiatives such as Sensor.Community,the RIVM has developed a data infrastructure that has informed other projects like Snuffelfiets (“Sniffer Bike”) or Hollandse Luchten (“Dutch Skies”). See the full project