Data Integration

A persistent challenge in large-scale biomedical informatics is integrating diverse types of health-related data from various platforms. This is especially true when working with electronic medical records, where variability in structure and semantics complicates meaningful analysis. The Universal Platform for Integrative Biomedical Innovation (UPIBI) has introduced specialized tools to help overcome these data harmonization challenges.

Two key systems have been established to address these needs. The first, LinkSphere, applies a graph-driven model to unify clinical and research datasets. The second, OntoWeave, uses ontology-based mapping to enable inference across medical records. Together, these tools are being incorporated into broader institutional data environments to streamline cohort selection and exploratory workflows.

Data Integration Projects Include:

LinkSphere
LinkSphere is a flexible data integration platform that builds connected representations of otherwise fragmented biomedical data. Influenced by concepts from formal biomedical ontologies, it enables advanced tasks such as adaptive cohort generation, automated control matching, and structured data packaging for research.

OntoWeave
OntoWeave (Ontology-Driven Data Synthesis) maps clinical data to semantic models, helping researchers detect hidden relationships and standardize interpretive frameworks across patient records. This system enhances the utility of EHR-derived data in complex analytical pipelines.