Best Practice Data Standards for Discrete Chemical Oceanographic Observations
| Type | : | ACL |
|---|---|---|
| Nature | : | Production scientifique |
| Au bénéfice du Laboratoire | : | Oui |
| Statut de publication | : | Publié |
| Année de publication | : | 2022 |
| Auteurs (40) | : | JIANG L-q PIERROT Denis WANNINKHOF Rik FEELY R,a TILBROOK Bronte ALIN Simone BARBERO Leticia BYRNE Robert,h CARTER Brendan,r DICKSON A,g GATTUSO Jean-pierre GREELEY Dana HOPPEMA Mario HUMPHREYS Matthew,p KARSTENSEN Johannes LANGE Nico LAUVSET Siv,k LEWIS E,l OLSEN Are PÉREZ Fiz,f SABINE C,l SHARP Jonathan,d TANHUA T TRULL Thomas,w VELO Anton ALLEGRA Andrew,j BARKER Paul BURGER Eugene,f CAI Wei-jun CHEN Chen-tung,a CROSS Jessica GARCIA H,e HERNANDEZ-AYON Jose,martin HU Xiaozhong KOZYR A LANGDON C LEE K SALISBURY Joe WANG Zhaohui,aleck XUE Liang |
| Revue scientifique | : | Frontiers in Marine Science |
| Volume | : | 8 |
| Fascicule | : | |
| Pages | : | |
| DOI | : | 10.3389/fmars.2021.705638 |
| URL | : | https://www.frontiersin.org/article/10.3389/fmars.2021.705638 |
| Abstract | : | Effective 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. |
| Mots-clés | : | - |
| Commentaire | : | - |
| Tags | : | - |
| Fichier attaché | : | - |
| Citation | : |
Jiang L-Q, Pierrot D, Wanninkhof R, Feely RA, Tilbrook B, Alin S, Barbero L, Byrne RH, Carter BR, Dickson AG, Gattuso J-P, Greeley D, Hoppema M, Humphreys MP, Karstensen J, Lange N, Lauvset SK, Lewis EL, Olsen A, Pérez FF, Sabine CL, Sharp JD, Tanhua T, Trull TW, Velo A, Allegra AJ, Barker P, Burger EF, Cai W-J, Chen C-TA, Cross J, Garcia HE, Hernandez-Ayon JM, Hu X, Kozyr A, Langdon C, Lee K, Salisbury J, Wang ZA, Xue L (2022) Best Practice Data Standards for Discrete Chemical Oceanographic Observations. Front Mar Sci 8 | doi: 10.3389/fmars.2021.705638
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