An Event-Driven Architecture for Biomedical Data Integration and Interoperability

Lopes P, Oliveira JL

Bioinformatics and Biomedical Engineering 9044:165, January 2015
DOI: 10.1007/978-3-319-16480-9_17


Connecting data and services is nowadays an essential skill for life
sciences researchers. Handling data from unrelated sources using problem specific software or labor-intensive tools are common tasks. Despite the latest advances, integration and interoperability developments still involve primitive interactions and manual triggers. On the one hand, available tools cover specific niches, ignoring more generic problems. On the other hand, overly complex tools with excessive features dominate the market. In this proposal we introduce a cloud-based architecture to simplify real-time integration and interoperability for biomedical data. We support our strategy in an event-driven service-oriented architecture, where new data are pushed from any content source, through an intelligent proxy, for delivery to heterogeneous endpoints. This enables a passive integration approach, providing developers with a streamlined solution for deploying integrative biomedical applications.

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