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Implementing a data management infrastructure for big healthcare data

The advancements in healthcare have brought to the fore the need for flexible access to health-related information and created an ever-growing demand for efficient data management infrastructures. To this direction, in this paper, we present an effective and efficient data management infrastructure implemented for the iManageCancer EU project. The architecture focuses on enabling data access to multiple, heterogeneous and diverse data source that are initially available in a data lake. Parts of these data are integrated and semantically uplifted using a modular ontology. This integration can be either at run-time or through an ETL process ensuring efficient access to the integrated information. A unique feature of out platform is that it allows the uninterrupted, continuous evolution of ontologies/terminologies. Finally, summarization tools enable the quick understanding of the available information, whereas APIs and anonymization services ensure the secure access to the requested information.