Best Practice Data Standards for Discrete Chemical Oceanographic Observations

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dc.contributor.authorJiang, Li-Qing
dc.contributor.authorPierrot, Denis
dc.contributor.authorWanninkhof, Rik
dc.contributor.authorFeely, Richard A.
dc.contributor.authorTilbrook, Bronte
dc.contributor.authorAlin, Simone
dc.contributor.authorBarbero, Leticia
dc.contributor.authorByrne, Robert H.
dc.contributor.authorCarter, Brendan R.
dc.contributor.authorDickson, Andrew G.
dc.contributor.authorGattuso, Jean-Pierre
dc.contributor.authorGreeley, Dana
dc.contributor.authorHoppema, Mario
dc.contributor.authorHumphreys, Matthew P.
dc.contributor.authorKarstensen, Johannes
dc.contributor.authorLange, Nico
dc.contributor.authorLauvset, Siv K.
dc.contributor.authorLewis, Ernie R.
dc.contributor.authorOlsen, Are
dc.contributor.authorPérez, Fiz F.
dc.contributor.authorSabine, Christopher
dc.contributor.authorSharp, Jonathan D.
dc.contributor.authorTanhua, Toste
dc.contributor.authorTrull, Thomas W.
dc.contributor.authorVelo, Anton
dc.contributor.authorAllegra, Andrew J.
dc.contributor.authorBarker, Paul
dc.contributor.authorBurger, Eugene
dc.contributor.authorCai, Wei-Jun
dc.contributor.authorChen, Chen-Tung A.
dc.contributor.authorCross, Jessica
dc.contributor.authorGarcia, Hernan
dc.contributor.authorHernandez-Ayon, Jose Martin
dc.contributor.authorHu, Xinping
dc.contributor.authorKozyr, Alex
dc.contributor.authorLangdon, Chris
dc.contributor.authorLee, Kitack
dc.contributor.authorSalisbury, Joe
dc.contributor.authorWang, Zhaohui Aleck
dc.contributor.authorXue, Liang
dc.date.accessioned2022-03-07T22:18:58Z
dc.date.available2022-03-07T22:18:58Z
dc.date.issued2022-01-21
dc.description.abstractEffective data management plays a key role in oceanographic research as cruise-based data, collected from different laboratories and expeditions, are commonly compiled to investigate regional to global oceanographic processes. Here we describe new and updated best practice data standards for discrete chemical oceanographic observations, specifically those dealing with column header abbreviations, quality control flags, missing value indicators, and standardized calculation of certain properties. These data standards have been developed with the goals of improving the current practices of the scientific community and promoting their international usage. These guidelines are intended to standardize data files for data sharing and submission into permanent archives. They will facilitate future quality control and synthesis efforts and lead to better data interpretation. In turn, this will promote research in ocean biogeochemistry, such as studies of carbon cycling and ocean acidification, on regional to global scales. These best practice standards are not mandatory. Agencies, institutes, universities, or research vessels can continue using different data standards if it is important for them to maintain historical consistency. However, it is hoped that they will be adopted as widely as possible to facilitate consistency and to achieve the goals stated above.en_US
dc.identifier.citationJiang, L.-Q. and 39 coauthors, 2022. Best practice data standards for discrete chemical oceanographic observations. Frontiers in Marine Science, 8, 705638, doi: 10.3389/fmars.2021.705638en_US
dc.identifier.doihttps://doi.org/10.3389/fmars.2021.705638
dc.identifier.urihttps://hdl.handle.net/1969.6/90241
dc.publisherFrontiers in Marine Scienceen_US
dc.subjectdata standarden_US
dc.subjectchemical oceanographyen_US
dc.subjectcontent vs. concentrationen_US
dc.subjectquality control flagsen_US
dc.titleBest Practice Data Standards for Discrete Chemical Oceanographic Observationsen_US
dc.typeArticleen_US

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