Meaningful data integration, visualization and distribution for Human Pain Associated Genes & Cells Datasets

University Of Pennsylvania, Philadelphia PA

Investigators

Abstract

Project Summary: The PRECISION Human Pain project has a primary goal to develop a comprehensive datasets of molecular signature cell types, and cellular function phenotypes or signatures that underlie human pain signal transduction, transmission, and processing. To maximize the impact of the data generated through this effort, it is vital to standardize and integrate all data generated by the U19 centers and make these data available in a meaningful way to the larger scientific community. As the data coordination and integration center, we will support the PRECISION Heal initiative to generate a high impact resource for sharing, visualizing datasets, and making these datasets actionable for downstream analysis and scientific investigations. Over the last 7 years, our interdisciplinary team has developed platform technologies, standards, and visualization mechanisms to look at physiological data in context for several NIH programs (e.g. SPARC and REJOIN). Our combined domain expertise spans the requirements to facilitate complex data integration specifically for Neuroscience and physiology datasets. We will leverage our existing platform technologies and workflows to rapidly engage with the HEAL PRECISION U19 centers and lead the effort to develop the knowledge and data integration capabilities needed to support high impact research. We will expand our workflows to be tightly integrated with the existing HEAL Data Ecosystem, its repositories, and any workflow and data integration requirements by the individual U19 data cores. In this proposal our goals are: (1) To develop a data management and knowledge platform for HEAL Precision centers to standardize datasets across the HEAL Precision U19 data collection centers, provide the means to share data amongst the consortium in a meaningful way prior to data publication and integrate knowledge across all submitted data (2) To develop novel visualization and data exploration mechanisms to interact with these data in context as part of an integrated data ecosystem. (3) To increase the impact of the HEAL PRECISION program through operational support, outreach and educational efforts. This project leverages an established inter institutional collaboration between investigators across BioInformatics, Physiology and Knowledge Management with a track record of successfully supporting large NIH efforts with data resource management.