Perspectives on Data Reproducibility and Replicability in Paleoclimate and Climate Science
Perspectives on Data Reproducibility and Replicability in Paleoclimate and Climate Science
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DOI：
10.1162/99608f92.00cd8f85
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发表时间：
2020-12
期刊：
影响因子：
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通讯作者：
R. Bush;A. Dutton;M. Evans;R. Loft;G. Schmidt
中科院分区：
文献类型：
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作者：
R. Bush;A. Dutton;M. Evans;R. Loft;G. Schmidt
本文综述了气候和古气候科学领域的可重复性和可复制性的研究现状，包括它们在气候科学中的发展和应用的简要历史，提高可重复性和可复制性的新方法和最新进展，以及面临的挑战。应对这些挑战的建议包括：为原始和处理后的数字数据集开发可搜索、自动更新、相互关联、多档案的公共古气候储存库;跨中心标准化代码库案例，改进数据存储技术，并注重气候模拟存储和访问的可复制性;支持资助机构和出版商制定可查找、可访问、可互操作和可重用（FAIR）原则，并提高社区对这些原则的认识。本文主要基于2018年5月一个研究小组向科学复制和可复制性委员会（美国国家科学院、工程院和医学院的一部分）所作的报告。这里提出的评论和建议与其关于科学中的可复制性和可复制性的共识研究报告（2019）一致。
This paper summarizes the current state of reproducibility and replicability in the fields of climate and paleoclimate science, including brief histories of their development and applications in climate science, new and recent approaches towards improvement of reproducibility and replicability, and challenges. Recommendations for addressing those challenges include: development of searchable, auto-updated, interlinked, multi-archive public paleoclimate repositories for raw and processed digital datasets; cross-center standardized code base cases, improved data storage techniques, and a focus on replicability for climate simulation storage and access; and support of the development and community awareness of findable, accessible, interoperable and reusable (FAIR) principles by funding agencies and publishers. This paper is largely based on the May 2018 presentations of a panel of researchers to the Committee on Reproducibility and Replicability in Science, part of the National Academies of Science, Engineering, and Medicine. The commentary and recommendations made here are in alignment with those of its Consensus Study Report on Reproducibility and Replicability in Science (2019).