Data Sharing and Management within a Large-Scale, Heterogeneous Sensor Network using the CUAHSI Hydrologic Information System

Key Info
Description - a brief synopsis, abstract or summary of what the learning resource is about: 

Hydrology researchers are collecting data using in situ sensors at high frequencies, for extended durations, and with spatial distributions that require infrastructure for data storage, management, and sharing. Managing streaming sensor data is challenging, especially in large networks with large numbers of sites and sensors.  The availability and utility of these data in addressing scientific questions related to water availability, water quality, and natural disasters relies on effective cyberinfrastructure that facilitates transformation of raw sensor data into usable data products.  It also depends on the ability of researchers to share and access the data in useable formats.  In this presentation I will describe tools that have been developed for research groups and sites conducting long term monitoring using in situ sensors.  Functionality includes the ability to track equipment, deployments, calibrations, and other events related to monitoring site maintenance and to link this information to the observational data that they are collecting, which is imperative in ensuring the quality of sensor-based data products. I will present these tools in the context of a data management and publication workflow case study for the iUTAH (innovative Urban Transitions and Aridregion Hydrosustainability) network of aquatic and terrestrial sensors.  iUTAH researchers have developed and deployed an ecohydrologic observatory to monitor Gradients Along Mountain to Urban Transitions (GAMUT). The GAMUT Network measures aspects of water inputs, outputs, and quality along a mountain-to-urban gradient in three watersheds that share common water sources (winter-derived precipitation) but differ in the human and biophysical nature of land-use transitions. GAMUT includes sensors at aquatic and terrestrial sites for real-time monitoring of common meteorological variables, snow accumulation and melt, soil moisture, surface water flow, and surface water quality. I will present the overall workflow we have developed, our use of existing software tools from the CUAHSI Hydrologic Information System, and new software tools that we have deployed for both managing the sensor infrastructure and for storing, managing, and sharing the sensor data.

Authoring Person(s) Name: 
Jeff Horsburgh
License - link to legal statement specifying the copyright status of the learning resource: 
Creative Commons 0 - CC0 "No Rights Reserved" (Public Domain)
Access Cost: 
No fee
Citation - format of the preferred citation for the learning resource: 
Horsburgh, Jeff, 2015, Data Sharing and Management within a Large-Scale, Heterogeneous Sensor Network using the CUAHSI Hydrologic Information System: U.S. Geological Survey, https://my.usgs.gov/confluence/x/4gb2Hg.
Primary language(s) in which the learning resource was originally published or made available: 
English
More info about
Keywords - short phrases describing what the learning resource is about: 
Data collection
Published / Broadcast: 
Wednesday, June 17, 2015
Created: 
Wednesday, June 17, 2015
Publisher - organization credited with publishing or broadcasting the learning resource: 
U.S. Geological Survey
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Event - time-based happening that is portrayed or covered by the learning resource, e.g., a webinar.
Contact Organization(s): 
U.S. Geological Survey
Educational Info
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
Up to 1 hour
Framework - A community-based organization plan or set of steps for education or training: 
USGS Science Support Framework
Framework Node: USGS Science Support Framework: 
Acquire
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