TY - JOUR
T1 - Best Practice Data Standards for Discrete Chemical Oceanographic Observations
AU - Jiang, Li Qing
AU - Pierrot, Denis
AU - Wanninkhof, Rik
AU - Feely, Richard A.
AU - Tilbrook, Bronte
AU - Alin, Simone
AU - Barbero, Leticia
AU - Byrne, Robert H.
AU - Carter, Brendan R.
AU - Dickson, Andrew G.
AU - Gattuso, Jean Pierre
AU - Greeley, Dana
AU - Hoppema, Mario
AU - Humphreys, Matthew P.
AU - Karstensen, Johannes
AU - Lange, Nico
AU - Lauvset, Siv K.
AU - Lewis, Ernie R.
AU - Olsen, Are
AU - Pérez, Fiz F.
AU - Sabine, Christopher
AU - Sharp, Jonathan D.
AU - Tanhua, Toste
AU - Trull, Thomas W.
AU - Velo, Anton
AU - Allegra, Andrew J.
AU - Barker, Paul
AU - Burger, Eugene
AU - Cai, Wei Jun
AU - Chen, Chen Tung A.
AU - Cross, Jessica
AU - Garcia, Hernan
AU - Hernandez-Ayon, Jose Martin
AU - Hu, Xinping
AU - Kozyr, Alex
AU - Langdon, Chris
AU - Lee, Kitack
AU - Salisbury, Joe
AU - Wang, Zhaohui Aleck
AU - Xue, Liang
N1 - Funding Information:
Funding for L-QJ and AK was from NOAA Ocean Acidification Program (OAP, Project ID: 21047) and NOAA National Centers for Environmental Information (NCEI) through NOAA grant NA19NES4320002 [Cooperative Institute for Satellite Earth System Studies (CISESS)] at the University of Maryland/ESSIC. BT was in part supported by the Australia’s Integrated Marine Observing System (IMOS), enabled through the National Collaborative Research Infrastructure Strategy (NCRIS). AD was supported in part by the United States National Science Foundation. AV and FP were supported by BOCATS2 Project (PID2019-104279GB-C21/AEI/10.13039/501100011033) funded by the Spanish Research Agency and contributing to WATER:iOS CSIC interdisciplinary thematic platform. MH was partly funded by the European Union’s Horizon 2020 Research and Innovation Program under grant agreement N◦821001 (SO-CHIC).
Publisher Copyright:
Copyright © 2022 Jiang, Pierrot, Wanninkhof, Feely, Tilbrook, Alin, Barbero, Byrne, Carter, Dickson, Gattuso, Greeley, Hoppema, Humphreys, Karstensen, Lange, Lauvset, Lewis, Olsen, Pérez, Sabine, Sharp, Tanhua, Trull, Velo, Allegra, Barker, Burger, Cai, Chen, Cross, Garcia, Hernandez-Ayon, Hu, Kozyr, Langdon, Lee, Salisbury, Wang and Xue.
PY - 2022/1/21
Y1 - 2022/1/21
N2 - 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.
AB - 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.
KW - CO2SYS
KW - TEOS-10
KW - WOCE WHP exchange formats
KW - column header abbreviations
KW - content vs. concentration
KW - data standard for chemical oceanography
KW - discrete chemical oceanographic observations
KW - quality control flags
UR - http://www.scopus.com/inward/record.url?scp=85108089911&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85108089911&partnerID=8YFLogxK
U2 - 10.3389/fmars.2021.705638
DO - 10.3389/fmars.2021.705638
M3 - Article
AN - SCOPUS:85108089911
VL - 8
JO - Frontiers in Marine Science
JF - Frontiers in Marine Science
SN - 2296-7745
M1 - 705638
ER -