Toward an Interoperable Catalogue of Multimodal Depression-Related Data

The need to establish an intelligent tool for semi-automatic diagnosis of depression on high-quality data, requires trustworthy, interoperable and multimodal data repositories. Such databases should be based on common collection and storage criteria and should enable advanced and open analysis modes without sacrificing data privacy. This paper launches the Depressive Disorder DataBase (D3B) initiative for the definition of a distributed and interoperable network of databases for the collection and the actual usage of depression-related multimodal data. In this database network, multimedia as voice, video, handwriting, and EEG signals could be collected and shared to a considerable community of researchers. This paper focuses on the catalogue schema, on technical-level details and on the mechanisms able to guarantee interoperability and privacy at the same time.