Galaxy: A Decade of Realising CWFR Concepts

IF 1.3 3区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Data Intelligence Pub Date : 2022-04-01 DOI:10.1162/dint_a_00136
Beatriz Serrano-Solano, A. Fouilloux, Ignacio Eguinoa, Matúš Kalaš, B. Grüning, Frederik Coppens
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引用次数: 3

Abstract

Abstract Despite recent encouragement to follow the FAIR principles, the day-to-day research practices have not changed substantially. Due to new developments and the increasing pressure to apply best practices, initiatives to improve the efficiency and reproducibility of scientific workflows are becoming more prevalent. In this article, we discuss the importance of well-annotated tools and the specific requirements to ensure reproducible research with FAIR outputs. We detail how Galaxy, an open-source workflow management system with a web-based interface, has implemented the concepts that are put forward by the Canonical Workflow Framework for Research (CWFR), whilst minimising changes to the practices of scientific communities. Although we showcase concrete applications from two different domains, this approach is generalisable to any domain and particularly useful in interdisciplinary research and science-based applications.
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银河:实现CWFR概念的十年
摘要尽管最近鼓励遵循FAIR原则,但日常研究实践并没有发生实质性变化。由于新的发展和应用最佳做法的压力越来越大,提高科学工作流程的效率和可重复性的举措越来越普遍。在这篇文章中,我们讨论了注释良好的工具的重要性,以及确保FAIR输出的可重复研究的具体要求。我们详细介绍了Galaxy,一个具有网络界面的开源工作流管理系统,如何实现研究规范工作流框架(CWFR)提出的概念,同时最大限度地减少科学界实践的变化。尽管我们展示了两个不同领域的具体应用,但这种方法可以推广到任何领域,在跨学科研究和基于科学的应用中特别有用。
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来源期刊
Data Intelligence
Data Intelligence COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
6.50
自引率
15.40%
发文量
40
审稿时长
8 weeks
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