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Ensuring Reliable Datasets for Environmental Models and Forecasts



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Ensuring Reliable Datasets for Environmental Models and Forecasts Emery R Boose1 Aaron M Ellison1 Leon J Osterweil2 Lori A Clarke2 Rodion Podorozhny3 Julian L Hadley1 Alexander Wise2 David R Foster1 1 Harvard University United States University of Massachusetts United States 3 Texas State University United States 2 Corresponding author E mail address boose fas harvard edu Article History Received 31 October 2006 Received in revised form 10 July 2007 Accepted 30 July 2007 Keywords Analytic web Little JIL metadata process sensor network water flux Citation Boose E R A M Ellison L J Osterweil L A Clarke R Podorozhny J L Hadley A Wise and D R Foster 2007 Ensuring reliable datasets for environmental models and forecasts Ecological Informatics 2 237 247 DOI 10 1016 j ecoinf 2007 07 006 Note Elsevier prohibits others from distributing online the published version of this article This is an author s version that contains the same material with different formatting 1 ABSTRACT At the dawn of the 21st century environmental scientists are collecting more data more rapidly than at any time in the past Nowhere is this change more evident than in the advent of sensor networks able to collect and process in real time simultaneous measurements over broad areas and at high sampling rates At the same time there has been great progress in the development of standards methods and tools for data analysis and synthesis including a new standard for descriptive metadata for ecological datasets Ecological Metadata Language and new workflow tools that help scientists to assemble datasets and to diagram record and execute analyses However these developments important as they are are not yet sufficient to guarantee the reliability of datasets created by a scientific process the complex activity that scientists carry out in order to create a dataset We define a dataset to be reliable when the scientific process used to create it is 1 reproducible and 2 analyzable for potential defects To address



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