Best Practice Data Standards for Discrete Chemical Oceanographic Observations

• DOI: 10.3389/fmars.2021.705638
• Publication Date: 2022-01-21T10:15:32Z
• Authors: Li-Qing Jiang; Denis Pierrot; Rik Wanninkhof; Richard A. Feely; Bronte Tilbrook; Simone Alin; Leticia Barbero; Robert H. Byrne; Brendan R. Carter; Andrew G. Dickson; Jean-Pierre Gattuso; Dana Greeley; Mario Hoppema; Matthew P. Humphreys; Johannes Karstensen; Nico Lange; Siv K. Lauvset; Ernie R. Lewis; Are Olsen; Fiz F. Pérez; Christopher Sabine; Jonathan D. Sharp; Toste Tanhua; Thomas W. Trull; Anton Velo; Andrew J. Allegra; Paul Barker; Eugene Burger; Wei-Jun Cai; Chen-Tung A. Chen; Jessica Cross; Hernan Garcia; Jose Martin Herna...; Xinping Hu; Alex Kozyr; Chris Langdon; Kitack Lee; Joe Salisbury; Zhaohui Aleck Wang; Liang Xue
• Keywords: Best practice; Rigour; Data Sharing

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 global processes. Here we describe new updated best practice standards for discrete chemical observations, specifically those dealing with column header abbreviations, quality control flags, missing value indicators, standardized calculation of certain properties. These have been developed the goals improving current practices scientific community promoting their international usage. guidelines intended standardize files sharing submission into permanent archives. They will facilitate future synthesis efforts lead better interpretation. In turn, this promote ocean biogeochemistry, such studies carbon cycling acidification, on scales. not mandatory. Agencies, institutes, universities, or vessels can continue using if it is important them maintain historical consistency. However, hoped that they be adopted widely possible consistency achieve stated above.