The PRISM Project: Prevention and Risk Identification of SUDEP Mortality (1-P20-NS076965-01) is a National Institutes of Health (National Institute of Neurological Disorders and Stroke) funded multi-disciplinary, multi-center collaboration between clinician researchers, basic scientists and expert engineers in biomedical informatics and electrical engineering based at Case Western Reserve University. Its primary remit is to establish and facilitate research into Sudden Unexpected Death in Epilepsy (SUDEP), a significant, devastating public health problem that affects upto 5000 individuals every year in the United States alone.
SUDEP is defined as a sudden, unexpected, witnessed/un-witnessed, non-traumatic and non-drowning death of people with epilepsy with/ without evidence of a seizure, excluding documented status epilepticus and where autopsy does not reveal another cause of death. Near-SUDEP (defined as a cardiac or respiratory arrest that has required active resuscitation) incidence is unknown. Precise mechanisms of death (there may be several) are unknown and no true prevention strategies exist.
One of the primary challenges in translational research data management is breaking down the barriers between the multiple data silos and the integration of 'omics data with clinical information to complete the cycle from the bench to the bedside. The role of contextual metadata, also called provenance information, is a key factor in effective data integration, reproducibility of results, correct attribution of original source, and answering research queries involving “What”, “Where”, “When”, “Which”, “Who”, “How”, and “Why” (also known as the W7 model). But, at present there is limited or no effective approach to managing and leveraging provenance information for integrating data across studies or projects. There is an urgent need for a paradigm shift in creating a “provenance-aware” informatics platform to address this challenge.
We introduce an ontology-driven, intuitive Semantic Proteomics Dashboard (SemPoD) that uses provenance together with domain information (semantic provenance) to enable researchers to query, compare, and correlate data across multiple projects, multiple types of data, and integrate with legacy data to support their current research.
For more details on the architecture, features and functionality provided by SemPoD, visit the SemPoD website