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UMCoE Receives NIH Funding for Semantic Data Lake Tackling Biomedical Research

Biomedical data is a hot topic in the healthcare industry, affording transformative opportunities to develop and adopt several new technologies.

Mansur Kabuka, professor in the University of Miami College of Engineering’s (UMCoE) Department of Electrical and Computer Engineering, received funding — through INFOTECHSoft, Inc. — from the National Institutes of Health (NIH) for his research project entitled “Semantic Data Lake for Biomedical Research.”

New technologies — such as next generation genetic sequencing, electronic health records and clinical trials systems, and research data warehouses — are ushering in a wave of big data production and analytics.

In his project, Kabuka and his team will develop the Semantic Data Lake for Biomedical Research (SDL-BR) system — a cluster-computing software environment that enables rapid data ingestion, multifaceted data modeling, logical and semantic querying and data transformation, and intelligent resource discovery.

The ultimate objective of the SDL-BR project is to improve the productivity of the biomedical research endeavor, enabling scientists and investigators to generate new discoveries and new insights. We do this by providing a set of novel tools and methods to ingest, integrate, aggregate, and process the vast amounts of data that are constantly being produced.

The SDL-BR is a distributed computing software solution that has the potential to serve as a tool to assist researchers in the assembly, integration, transformation, and analysis of these Big Data sets.

Kabuka’s project adds to data lake paradigm methods for semantic data modeling, integration, querying, and for resource discovery based on learned relationships between users and data resources.

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