Abstract
Promoting mental well-being among young people is a pressing need for Sweden to mitigate declines in health among the next generation. To achieve this, various programs have been implemented at both the school and municipal levels. Different municipalities implement programs, monitor, and collect data on youth mental well-being within their areas. Analysis of these data is challenging because data silos exist across institutions. System-level assessment has been difficult in both the reasoning and decision-making phases, and in attributing the impact of these strategies to the specific actions taken by municipalities.
In this work, we propose using a data fusion approach to create a common dataset for studying youth mental well-being by combining data from various departments across Swedish municipalities. We identify the required datasets, along with their schemas, metadata, and definitions, and develop a graph database design that defines standard terms and related concepts. We deploy this min two Stockholm municipalities to demonstrate the approach’s ability to query across different institutional datasets through the common graph schema. Finally, we outline the use of a graph database in a participatory setting to better understand programs that promote youth mental well-being across departments in both municipalities.