Data quality control considerations in multivariate environmental monitoring: experience of the French coastal network SOMLIT
IntroductionWhile crucial to ensuring the production of accurate and high-quality data—and to avoid erroneous conclusions—data quality control (QC) in environmental monitoring datasets is still poorly documented.MethodsWith a focus on annual inter-laboratory comparison (ILC) exercises performed in t...
| Published in: | Frontiers in Marine Science |
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2023-04-01
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| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmars.2023.1135446/full |
