Open Science Expectations for Simulation-Based Research
Open Science Expectations for Simulation-Based Research
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DOI：
10.3389/fclim.2021.763420
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发表时间：
2021-11-24
影响因子：
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通讯作者：
Schuster, Douglas C.
中科院分区：
文献类型：
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作者：
Mullendore, Gretchen L.;Mayernik, Matthew S.;Schuster, Douglas C.
科学界普遍强烈认同计算建模需要可重复的工作流程。开放且可重复的工作流程不仅能增强公众对科学的信心，还能带来更高效的群体科学。然而，地球科学模拟输出的巨大规模和复杂性，以及生成和保存这些输出的高昂成本，带来了与数据存储、保存、复制和重复相关的问题。模拟工作流程本身在可用性、可理解性、文档记录和引用方面带来了额外的挑战。这些挑战使得研究人员难以满足研究资助机构和科学期刊提出的各种各样令人眼花缭乱的数据管理要求和建议。本文介绍了地球立方研究协调网络项目“模型数据如何？——保存和可重复性的最佳实践”的初步成果和新兴主题，该项目正在努力开发工具，以帮助研究人员确定地球科学建模研究的哪些要素应该被保存和共享，以满足不断发展的群体开放科学期望。具体而言，本文提供了应对以下关键问题的方法：
• 对于以知识生产为导向的项目和以数据生产为导向的项目，模型软件和输出的保存应该有何不同？
• 动态地球科学建模研究的哪些组成部分应该被保存和共享？
• 为实现地球科学模拟模型及其输出的共享和保存，需要哪些管理支持？
• 哪些文化障碍阻碍了地球科学建模人员在这些主题上取得进展？
There is strong agreement across the sciences that replicable workflows are needed for computational modeling. Open and replicable workflows not only strengthen public confidence in the sciences, but also result in more efficient community science. However, the massive size and complexity of geoscience simulation outputs, as well as the large cost to produce and preserve these outputs, present problems related to data storage, preservation, duplication, and replication. The simulation workflows themselves present additional challenges related to usability, understandability, documentation, and citation. These challenges make it difficult for researchers to meet the bewildering variety of data management requirements and recommendations across research funders and scientific journals. This paper introduces initial outcomes and emerging themes from the EarthCube Research Coordination Network project titled "What About Model Data? - Best Practices for Preservation and Replicability," which is working to develop tools to assist researchers in determining what elements of geoscience modeling research should be preserved and shared to meet evolving community open science expectations.Specifically, the paper offers approaches to address the following key questions:& BULL; How should preservation of model software and outputs differ for projects that are oriented toward knowledge production vs. projects oriented toward data production?& BULL; What components of dynamical geoscience modeling research should be preserved and shared?& BULL; What curation support is needed to enable sharing and preservation for geoscience simulation models and their output?& BULL; What cultural barriers impede geoscience modelers from making progress on these topics?