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1 July 2013 Quantity is Nothing without Quality: Automated QA/QC for Streaming Environmental Sensor Data
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Abstract

Sensor networks are revolutionizing environmental monitoring by producing massive quantities of data that are being made publically available in near real time. These data streams pose a challenge for ecologists because traditional approaches to quality assurance and quality control are no longer practical when confronted with the size of these data sets and the demands of real-time processing. Automated methods for rapidly identifying and (ideally) correcting problematic data are essential. However, advances in sensor hardware have outpaced those in software, creating a need for tools to implement automated quality assurance and quality control procedures, produce graphical and statistical summaries for review, and track the provenance of the data. Use of automated tools would enhance data integrity and reliability and would reduce delays in releasing data products. Development of community-wide standards for quality assurance and quality control would instill confidence in sensor data and would improve interoperability across environmental sensor networks.

© 2013 by American Institute of Biological Sciences. All rights reserved. Request permission to photocopy or reproduce article content at the University of California Press's Rights and Permissions Web site at www.ucpressjournals.com/reprintinfo.asp.
John L. Campbell, Lindsey E. Rustad, John H. Porter, Jeffrey R. Taylor, Ethan W. Dereszynski, James B. Shanley, Corinna Gries, Donald L. Henshaw, Mary E. Martin, Wade M. Sheldon, and Emery R. Boose "Quantity is Nothing without Quality: Automated QA/QC for Streaming Environmental Sensor Data," BioScience 63(7), 574-585, (1 July 2013). https://doi.org/10.1525/bio.2013.63.7.10
Published: 1 July 2013
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