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Tuesday, September 24 • 3:30pm - 3:50pm
BASIN-3D: Reducing the data processing burden for earth scientists

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Earth scientists expend significant effort synthesizing data often from multiple data sources for both modeling and empirical analyses. We introduce BASIN-3D (Broker for Assimilation, Synthesis and Integration of eNvironmental Diverse, Distributed Datasets) as a data brokering approach to reduce the scientist's data processing burden. BASIN-3D synthesizes diverse data from a variety of remote sources in real-time without the need for additional storage. BASIN-3D is an extendable Django web framework application using a generalized data synthesis model that makes the synthesized data available via REpresentational State Transfer (REST) Application Programming Interface (API). We have currently implemented our data synthesis model to represent sensor-based time series earth science observations across a hierarchy of spatial locations. Supporting our data synthesis model is a plugin framework that allows developers to map data sources of interest to the BASIN-3D synthesis model. In this demo, we give an overview of BASIN-3D's synthesis model and plugin framework and compare direct time-series queries to a public data source with queries to BASIN-3D. Additionally, we demonstrate a web interface built on top of BASIN-3D that provides a usable interface for scientific users including features such as an interactive map, data visualization, and download.


Tuesday September 24, 2019 3:30pm - 3:50pm PDT
Kon Tiki Room, Catamaran Resort 3999 Mission Boulevard, San Diego, California 92109