Best Practice Data Standards for Discrete Chemical Oceanographic Observations

Best Practice Data Standards for Discrete Chemical Oceanographic Observations
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DOI:
10.3389/fmars.2021.705638
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发表时间:
2022-01
期刊:
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影响因子:
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通讯作者:
Li‐Qing Jiang;D. Pierrot;R. Wanninkhof;R. Feely;B. Tilbrook;S. Alin;L. Barbero;R. Byrne;B. Carter;A. Dickson;J. Gattuso;D. Greeley;M. Hoppema;M. Humphreys;J. Karstensen;N. Lange;S. Lauvset;E. Lewis;A. Olsen;F. F. Pérèz-F.;C. Sabine;Jonathan D. Sharp;T. Tanhua;T. Trull;A. Velo;A. Allegra;P. Barker;E. Burger;W. Cai;Cheng Chen;J. Cross;Hernán García;J. Hernández-Ayón;Xinping Hu;A. Kozyr;C. Langdon;Kitack Lee;J. Salisbury;Z. Wang;L. Xue
Li‐Qing Jiang;D. Pierrot;R. Wanninkhof;R. Feely;B. Tilbrook;S. Alin;L. Barbero;R. Byrne;B. Carter;A. Dickson;J. Gattuso;D. Greeley;M. Hoppema;M. Humphreys;J. Karstensen;N. Lange;S. Lauvset;E. Lewis;A. Olsen;F. F. Pérèz-F.;C. Sabine;Jonathan D. Sharp;T. Tanhua;T. Trull;A. Velo;A. Allegra;P. Barker;E. Burger;W. Cai;Cheng Chen;J. Cross;Hernán García;J. Hernández-Ayón;Xinping Hu;A. Kozyr;C. Langdon;Kitack Lee;J. Salisbury;Z. Wang;L. Xue
中科院分区:
其他
文献类型:
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作者:
Li‐Qing Jiang;D. Pierrot;R. Wanninkhof;R. Feely;B. Tilbrook;S. Alin;L. Barbero;R. Byrne;B. Carter;A. Dickson;J. Gattuso;D. Greeley;M. Hoppema;M. Humphreys;J. Karstensen;N. Lange;S. Lauvset;E. Lewis;A. Olsen;F. F. Pérèz-F.;C. Sabine;Jonathan D. Sharp;T. Tanhua;T. Trull;A. Velo;A. Allegra;P. Barker;E. Burger;W. Cai;Cheng Chen;J. Cross;Hernán García;J. Hernández-Ayón;Xinping Hu;A. Kozyr;C. Langdon;Kitack Lee;J. Salisbury;Z. Wang;L. Xue

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有效的数据管理在海洋学研究中发挥着关键作用,因为从不同实验室和考察队收集的基于航行的数据通常被汇编用于调查区域到全球的海洋学过程。在这里,我们描述了新的和更新的最佳实践数据标准离散化学海洋观测,特别是那些处理列标题缩写,质量控制标志,缺失值指标,和某些属性的标准化计算。制定这些数据标准的目的是改进科学界的现行做法,并促进其在国际上的使用。这些准则旨在使数据文件标准化,以便数据共享和提交永久档案。它们将促进今后的质量控制和综合工作,并导致更好的数据解释。反过来,这将促进海洋生物地球化学研究,例如从区域到全球范围的碳循环和海洋酸化研究。这些最佳做法标准不是强制性的。机构、研究所、大学或研究船可以继续使用不同的数据标准,如果它们保持历史一致性很重要的话。然而,希望这些准则将得到尽可能广泛的采用,以促进一致性和实现上述目标。
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.