Data management, sharing, and reuse in experimental geomorphology: Challenges, strategies, and scientific opportunities
Data management, sharing, and reuse in experimental geomorphology: Challenges, strategies, and scientific opportunities
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实验地貌学中的数据管理、共享和重用：挑战、策略和科学机遇
DOI：
10.1016/j.geomorph.2015.03.039
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发表时间：
2015
期刊：
影响因子：
3.9
通讯作者：
Wonsuck Kim
中科院分区：
文献类型：
--
作者：
L. Hsu;Raleigh L. Martin;B. McElroy;Kimberly Litwin;Wonsuck Kim
实验地貌学领域正处于一个数据丰富的时代，高分辨率的数字数据集迅速扩展。数以百万计的美元已经投入到建造和翻新水槽实验室，以进行越来越复杂、规模和分辨率的实验。然而，这种溢出的实验室数据体不容易分析、存储或访问。这种组织的缺乏给地球表面科学界（即地貌学家、沉积地质学家和工程师）带来了巨大的代价，因为他们错过了解决科学挑战的机会。在这里，我们概述了实验生命周期背景下数据管理实践的现状和挑战。基于这一评估，我们确定了四个最需要的领域，以实现更高的数据共享和重用率：元数据指南、工作流文档、数据存储以及激励和培训。我们提出了解决这些需求的具体指导，并总结了关于互操作性和人机可读性的杰出社区辩论。拟议的元数据列表包括基本数据集信息和实验地貌学的学科信息，包括评估数据质量和重用准备情况的元数据。数据发布是作为改进数据共享的框架提出的，我们讨论了审查实验数据集的社区具体考虑因素。
The field of experimental geomorphology is in a data-rich era with rapid expansion of high-resolution, digital data sets. Millions of dollars have been invested in building and renovating flume laboratories that run experiments at increasing sophistication, scale, and resolution. However, this overflowing body of laboratory data is not easily analyzed, stored, or accessed. This lack of organization comes at substantial cost to the Earth-surface science community (i.e., geomorphologists, sedimentary geologists, and engineers) through missed opportunities to address scientific challenges. Here, we present an overview of the current state of data management practices and challenges within the context of the experimental lifecycle. Based on this assessment, we identify four areas of greatest need in order to achieve higher rates of data sharing and reuse: metadata guidelines, workflow documentation, data storage, and incentives and training. We suggest specific guidance for addressing these needs and summarize outstanding community debates regarding interoperability and human- versus machine-readability. A proposed metadata list includes basic data set information and disciplinary information for experimental geomorphology, including metadata for evaluating data quality and readiness for reuse. Data publication is presented as a framework for improving data sharing, and we discuss community-specific considerations for review of experimental data sets.
影响因子：
8
作者：
Mayernik, Matthew S.;Callaghan, Sarah;Worley, Steven
通讯作者：
Worley, Steven
影响因子：
9.8
作者：
Wilson G;Aruliah DA;Brown CT;Chue Hong NP;Davis M;Guy RT;Haddock SH;Huff KD;Mitchell IM;Plumbley MD;Waugh B;White EP;Wilson P
通讯作者：
Wilson P