Quality Assurance of Oceanographic Observations: Standards and Guidance Adopted by an International Partnership.
Average rating votes
MetadataShow full item record
Scientists who observe and distribute oceanographic data require a process to ensure high-quality data. This process includes quality assurance, quality control, quality assessment, standards, and best practices. In this paper, quality assurance is widely regarded as actions taken prior to instrument deployment to improve the probability of generating good data, while quality control is the effort made to examine the resultant data. Herein we focus on quality assurance and strive to guide the oceanographic community by identifying existing quality assurance best practices preferred by the five entities represented by the authors – specifically, the Alliance for Coastal Technology, the AtlantOS project, the Integrated Marine Observing System, the Joint Technical Commission for Oceanographic and Marine Meteorology, and the U.S. IOOS Quality Assurance/Quality Control of Real-Time Oceanographic Data project. The focus has been placed on QA in response to suggestions from the AtlantOS and Q.....
JournalFrontiers in Marine Science
Sustainable Development Goals (SDG)14.A
Maturity LevelTRL 9 Actual system "mission proven" through successful mission operations (ground or space)
Best Practice TypeManual (incl. handbook, guide, cookbook etc)
Standard Operating Procedure
CitationBushnell, M.; Waldmann, C.; Seitz, S.; Buckley, E.; Tamburri, M.; Hermes, J.; Heslop, E. and Lara-Lopez, A. (2019) Quality Assurance of Oceanographic Observations: Standards and Guidance Adopted by an International Partnership. Frontiers in Marine Science, 6:706, 12pp. DOI: https://doi.org/10.3389/fmars.2019.00706
The following license files are associated with this item: