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A Guide and Toolbox to Replicability and Open Science in Entomology.
Journal of Insect Science ( IF 2.2 ) Pub Date : 2020-05-22 , DOI: 10.1093/jisesa/ieaa036
Jacob T Wittman 1 , Brian H Aukema 1
Affiliation  

The ability to replicate scientific experiments is a cornerstone of the scientific method. Sharing ideas, workflows, data, and protocols facilitates testing the generalizability of results, increases the speed that science progresses, and enhances quality control of published work. Fields of science such as medicine, the social sciences, and the physical sciences have embraced practices designed to increase replicability. Granting agencies, for example, may require data management plans and journals may require data and code availability statements along with the deposition of data and code in publicly available repositories. While many tools commonly used in replicable workflows such as distributed version control systems (e.g., 'git') or script programming languages for data cleaning and analysis may have a steep learning curve, their adoption can increase individual efficiency and facilitate collaborations both within entomology and across disciplines. The open science movement is developing within the discipline of entomology, but practitioners of these concepts or those desiring to work more collaboratively across disciplines may be unsure where or how to embrace these initiatives. This article is meant to introduce some of the tools entomologists can incorporate into their workflows to increase the replicability and openness of their work. We describe these tools and others, recommend additional resources for learning more about these tools, and discuss the benefits to both individuals and the scientific community and potential drawbacks associated with implementing a replicable workflow.

中文翻译:

昆虫学可复制性和开放科学指南和工具箱。

复制科学实验的能力是科学方法的基石。共享想法,工作流,数据和协议有助于测试结果的通用性,加快科学进步的速度,并增强已发表作品的质量控制。医学,社会科学和物理科学等科学领域都接受了旨在提高可复制性的实践。例如,授权机构可能需要数据管理计划,期刊可能需要数据和代码可用性声明,以及数据和代码在公共可用存储库中的存放。尽管通常在可复制工作流程中使用的许多工具(例如分布式版本控制系统(例如,'git')或用于数据清理和分析的脚本编程语言)可能会有陡峭的学习曲线,它们的采用可以提高个人效率,并促进昆虫学内部和跨学科的合作。开放科学运动正在昆虫学学科内发展,但是这些概念的实践者或希望跨学科开展更多协作的实践者可能不确定在哪里或如何接受这些计划。本文旨在介绍昆虫学家可以将某些工具整合到其工作流程中,以提高其工作的可复制性和开放性。我们将介绍这些工具和其他工具,推荐更多的资源以进一步了解这些工具,并讨论对个人和科学界的好处以及与实现可复制工作流程相关的潜在弊端。
更新日期:2020-05-22
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