PT  - JOURNAL ARTICLE
AU  - Fritz Lekschas
AU  - Nils Gehlenborg
TI  - SATORI: A System for Ontology-Guided Visual Exploration of Biomedical Data Repositories
AID  - 10.1101/046755
DP  - 2017 Jan 01
TA  - bioRxiv
PG  - 046755
4099  - http://biorxiv.org/content/early/2017/06/01/046755.short
4100  - http://biorxiv.org/content/early/2017/06/01/046755.full
AB  - The ever-increasing number of biomedical data sets provides tremendous opportunities for re-use across multiple studies but current data repositories provide limited means of exploration apart from text-based search. Ontological metadata annotations provide context by semantically relating data sets. Visualizing this rich network of relationships can improve the explorability of large data repositories and help researchers find data sets of interest. We developed SATORI—an integrative search and visual exploration interface for the exploration of biomedical data repositories. The design is informed by a requirements analysis through a series of semi-structured interviews. We evaluated the implementation of SATORI in a field study on a real-world data collection. SATORI enables researchers to seamlessly search, browse, and semantically query data repositories via two visualizations that are highly interconnected with a powerful search interface. SATORI is an open-source web application, which is freely available at http://satori.refinery-platform.org and integrated into the Refinery Platform.