Skip to Main Content
Quantity is nothing without quality: automated QA/QC for streaming sensor networksAuthor(s): 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; Emery R. Boose
Source: BioScience. 63(7): 574-585
Publication Series: Scientific Journal (JRNL)
Station: Northern Research Station
PDF: View PDF (803.44 KB)
DescriptionSensor 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.
- Check the Northern Research Station web site to request a printed copy of this publication.
- Our on-line publications are scanned and captured using Adobe Acrobat.
- During the capture process some typographical errors may occur.
- Please contact Sharon Hobrla, email@example.com if you notice any errors which make this publication unusable.
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationCampbell, John L.; Rustad, Lindsey E.; Porter, John H.; Taylor, Jeffrey R.; Dereszynski, Ethan W.; Shanley, James B.; Gries, Corinna; Henshaw, Donald L.; Martin, Mary E.; Sheldon, Wade. M.; Boose, Emery R. 2013. Quantity is nothing without quality: automated QA/QC for streaming sensor networks. BioScience. 63(7): 574-585.
Keywordscomputers in biology, informatics, instrumentation, environmental science
- Building a "cyber forest" in complex terrain at the Andrews Experimental Forest
- Spatiotemporal models for data-anomaly detection in dynamic environmental monitoring campaigns
- General Direction of the National Center for Environmental Research and Training (Cenica)
XML: View XML