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Show 8. Modeled Air Quality Data using the model developed Dr. Jeffrey Yanosky, Pennsylvania State University, for the years 1999 to 2007 as a 6 km grid 9. Measured Air Quality Data with Altitude provided by Dr. Geoff Silcox, UU 10. Hierarchical Bayesian Modeled Air Quality Data from EPA. Existing fields found in the data, but not present in the model, were added to the model. I then met with AQ experts in Utah to review the model and modified it further based on their inputs. Experts included: • Dr. Kerry E. Kelly, Assistant Professor, Chemical Engineering, UU • Dr. John D. Horel, Professor, Atmospheric Sciences, UU • Dr. Scott C. Collingwood, Research Assistant Professor, Pediatrics, UU • Mr. Adrian Dybwad, PurpleAir • Dr. Neal Patwari, Associate Professor, Electrical Engineering, UU. In addition, I reviewed the model with The Pediatric Research using Integrated Sensor Monitoring Systems (PRISMS) group including investigators from the PRISMS Data Model Working group, the PRISMS Data Coordinating Center at USC, and a second PRISMS Informatics Center at University of California, Los Angeles. Conclusion & Significance We now have a model that harmonizes and stores metadata and vast amounts of AQ data from different sensors (Figure 2). This model will now be used in data integration platforms such as OpenFurther to support the study of effects of the environment (exposome) on health and well-being. Figure 2: Principle domains and entities in the Sensor Common Metadata Specifications. |
