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Journal Articles Frontiers in Marine Science Year : 2022

Best Practice Data Standards for Discrete Chemical Oceanographic Observations

Li-Qing Jiang
  • Function : Author
Denis Pierrot
  • Function : Author
Rik Wanninkhof
  • Function : Author
Richard Feely
  • Function : Author
Bronte Tilbrook
  • Function : Author
Simone Alin
  • Function : Author
Leticia Barbero
  • Function : Author
Robert Byrne
  • Function : Author
Brendan Carter
  • Function : Author
Andrew Dickson
  • Function : Author
Dana Greeley
  • Function : Author
Mario Hoppema
  • Function : Author
Matthew Humphreys
  • Function : Author
Johannes Karstensen
  • Function : Author
Nico Lange
  • Function : Author
Siv Lauvset
  • Function : Author
Ernie Lewis
  • Function : Author
Are Olsen
  • Function : Author
Fiz Pérez
  • Function : Author
Christopher Sabine
  • Function : Author
Jonathan Sharp
  • Function : Author
Toste Tanhua
  • Function : Author
Thomas Trull
  • Function : Author
Anton Velo
  • Function : Author
Andrew Allegra
  • Function : Author
Paul Barker
  • Function : Author
Eugene Burger
  • Function : Author
Wei-Jun Cai
  • Function : Author
Chen-Tung Chen
  • Function : Author
Jessica Cross
  • Function : Author
Hernan Garcia
  • Function : Author
Jose Martin Hernandez-Ayon
  • Function : Author
Xinping Hu
  • Function : Author
Alex Kozyr
  • Function : Author
Chris Langdon
  • Function : Author
Kitack Lee
  • Function : Author
Joe Salisbury
  • Function : Author
Zhaohui Aleck Wang
  • Function : Author
Liang Xue
  • Function : Author

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.
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hal-03795813 , version 1 (05-10-2022)

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Li-Qing Jiang, Denis Pierrot, Rik Wanninkhof, Richard Feely, Bronte Tilbrook, et al.. Best Practice Data Standards for Discrete Chemical Oceanographic Observations. Frontiers in Marine Science, 2022, 8, ⟨10.3389/fmars.2021.705638⟩. ⟨hal-03795813⟩
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