In the EU-project environMENTAL new data is collected while using data from existing cohorts with large sample sizes. A major step in this process is the harmonisation of the data.
In the first step an overview was created of which cohorts can be included. Second step was to gather comprehensive information on all cohorts and variables. In the third step, detailed descriptions for each cohort were prepared to provide an overview of the data.
In order to obtain an overview of all cohorts and corresponding collected variables, a visual and interactive representation was created. For this purpose, corresponding cohorts and questionnaires were assigned. Three approaches to build constructs were used: (1) Harmonisation of the data according to psychopathology (depression, anxiety, drug abuse), (2) according to psychological constructs (e.g. impulsivity) and (3) according to RDoC domains (Negative Valence Systems, Positive Valence Systems, Cognitive Systems, Social Processes, Arousal and Regulatory Systems, Sensorimotor Systems).
The visual representation is an interactive tool and so far only includes selected measurements.
Plot Description:
The Sunburst plot is a hierarchical visualization that displays the relationship between constructs, questionnaire names, and cohorts. At the center of the plot, the “Constructs” are shown, which are the highest level categories, such as “depression”, “anxiety”, “drug use”, and so on.
The second circle of the Sunburst plot displays the “Questionnaire names” that were used to assess the constructs. These names are connected to the corresponding constructs, forming a path from the center to the outer circle.
The outermost circle of the Sunburst plot displays the “Cohorts” where the questionnaire was used to assess the data, with each questionnaire linked to one or more cohorts. The size of each segment in the Sunburst plot corresponds to the “Count” variable, which is the number of instances.
To use the Sunburst plot, you need to click on any segment of the plot to zoom in and see the corresponding sub-segments in more detail. This allows you to explore the data and analyze the relationships between constructs, questionnaire names, and cohorts at different levels of granularity. You can also hover your mouse over each segment to see more information about the corresponding variable, including the count and the percentage of the total.
Additionally, you can use the interactive legend to filter the data by construct, questionnaire name, and cohort, allowing you to focus on specific subsets of the data. Overall, the Sunburst plot provides a powerful tool for visualizing complex data relationships and gaining insights into the underlying patterns and trends.
