PaCTS 1.0: A Crowdsourced Reporting Standard for Paleoclimate Data
PaCTS 1.0: A Crowdsourced Reporting Standard for Paleoclimate Data
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DOI：
10.1029/2019pa003632
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发表时间：
2019-10-24
影响因子：
3.5
通讯作者：
Zhou, Y.
中科院分区：
文献类型：
--
作者：
Khider, D.;Emile-Geay, J.;Zhou, Y.
科学的进步离不开测量、仪器和数据的标准化。在大数据时代尤其如此，分析大数据量在很大程度上取决于数据的标准化。因此，在古气候学领域缺乏社区认可的数据标准，在很大程度上排除了该领域大数据进步的好处。在对古气候数据的格式和术语进行标准化的最新努力的基础上，本文介绍了古气候社区报告标准(PACTS)，这是此类数据的众包报告标准。PACTS收集了在报告古气候数据时应包括哪些信息，目的是最大限度地提高古气候数据集的再利用价值，特别是在合成工作和与气候模型模拟的比较中。由LinkedEarth项目发起的制定报告标准的进程涉及2016年的国际研讨会、未来几年各种形式的数字社区参与以及基层工作组。这一进程的参与者除了报告不确定性和年表外，还确定了古气候档案的重要性质；他们还确定了档案特有的性质以及新数据集与传统数据集的不同报告标准。这项工作表明，至少有135名受访者压倒性地支持大幅增加伴随古气候数据集的元数据数量。由于这些目标与目前的做法不一致，我们讨论了一条透明的道路，以便在不久的将来使用自下而上和自上而下的方法实施或修订这些建议。
The progress of science is tied to the standardization of measurements, instruments, and data. This is especially true in the Big Data age, where analyzing large data volumes critically hinges on the data being standardized. Accordingly, the lack of community-sanctioned data standards in paleoclimatology has largely precluded the benefits of Big Data advances in the field. Building upon recent efforts to standardize the format and terminology of paleoclimate data, this article describes the Paleoclimate Community reporTing Standard (PaCTS), a crowdsourced reporting standard for such data. PaCTS captures which information should be included when reporting paleoclimate data, with the goal of maximizing the reuse value of paleoclimate data sets, particularly for synthesis work and comparison to climate model simulations. Initiated by the LinkedEarth project, the process to elicit a reporting standard involved an international workshop in 2016, various forms of digital community engagement over the next few years, and grassroots working groups. Participants in this process identified important properties across paleoclimate archives, in addition to the reporting of uncertainties and chronologies; they also identified archive-specific properties and distinguished reporting standards for new versus legacy data sets. This work shows that at least 135 respondents overwhelmingly support a drastic increase in the amount of metadata accompanying paleoclimate data sets. Since such goals are at odds with present practices, we discuss a transparent path toward implementing or revising these recommendations in the near future, using both bottom-up and top-down approaches.