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Generating community-built tools for data sharing and analysis in environmental networks

December 1, 2016

Rapid data growth in many environmental sectors has necessitated tools to manage and analyze these data. The development of tools often lags behind the proliferation of data, however, which may slow exploratory opportunities and scientific progress. The Global Lake Ecological Observatory Network (GLEON) collaborative model supports an efficient and comprehensive data–analysis–insight life cycle, including implementations of data quality control checks, statistical calculations/derivations, models, and data visualizations. These tools are community-built and openly shared. We discuss the network structure that enables tool development and a culture of sharing, leading to optimized output from limited resources. Specifically, data sharing and a flat collaborative structure encourage the development of tools that enable scientific insights from these data. Here we provide a cross-section of scientific advances derived from global-scale analyses in GLEON. We document enhancements to science capabilities made possible by the development of analytical tools and highlight opportunities to expand this framework to benefit other environmental networks.

Citation Information

Publication Year 2016
Title Generating community-built tools for data sharing and analysis in environmental networks
DOI 10.1080/IW-6.4.889
Authors Jordan S. Read, Corinna Gries, Emily K. Read, Jennifer Klug, Paul C. Hanson, Matthew R. Hipsey, Eleanor Jennings, Catherine O'Reilley, Luke A. Winslow, Don Pierson, Christopher G. McBride, David Hamilton
Publication Type Article
Publication Subtype Journal Article
Series Title Inland Waters
Index ID 70189340
Record Source USGS Publications Warehouse
USGS Organization Office of Water Information