Enabling innovative research by supporting the life cycle of high frequency streaming sensor data in the Global Lake Ecological Observatory Network (GLEON)

Monday, 15 December 2014
Corinna Gries1, Jordan Stuart Read2, Luke A. Winslow1, Paul C Hanson3 and Kathleen C Weathers4, (1)University of Wisconsin Madison, Madison, WI, United States, (2)USGS Center for Integrated Data Analytics, Middleton, WI, United States, (3)University of Wisconsin, Madison, WI, United States, (4)Cary Institute of Ecosystem St, Millbrook, NY, United States
The Global Lake Ecological Observatory Network (GLEON) is an international community of scientists, educators and citizens with the mission to conduct innovative science by sharing and interpreting high-resolution sensor data to understand, predict and communicate the role and response of lakes in a changing global environment. During its almost ten years of existence and continual growth, GLEON has inspired innovative science, new modeling approaches, and accumulated extensive experience in the management of streaming, high resolution, and large volume data. However, a recent ‘data task force’ identified inhibiting data infrastructure issues, including providing access to data, discovering distributed data, and integrating data into useful data products for scientific research and management. Accordingly, in support of the complete data lifecycle, tools are being developed by the GLEON community and integrated with innovative technology from other groups to improve environmental observations data management in the broader community. Specifically we will discuss raw data handling with tools developed by the Consortium of Universities for the Advancement of Hydrologic Sciences (CUAHSI, Observation Data Model and DataLoader), quality control practices using a newly developed R package (sensorQC), data access with HydroDesktop, or webservices delivering WaterML, data analysis with the R package rLakeAnalyzer, and final storage of the quality controlled, harmonized and value added data product in a DataONE member node. Such data product is then discoverable, accessible for new analyses and citable in subsequent publications. Leveraging GLEON’s organizational structure, community trust, extensive experience, and technological talent the goal is to develop a design and implementation plan for a data publishing and sharing system that will address not only GLEON’s needs, but also those of other environmental research communities.