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Updated: Jul 15, 2025

11:39
A Quantitative Fitness Analysis Workflow
Published on: August 13, 2012
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构建公平的工作流程的十个快速技巧
Casper de Visser1, Lennart F Johansson2, Purva Kulkarni1,3,4
1Medical BioSciences Department, Radboud University Medical Center, Nijmegen, the Netherlands.
PLoS computational biology
|September 28, 2023
概括
本研究介绍了10个实用技巧,用于将FAIR研究软件 (FAIR4RS) 的FAIR原则应用于科学工作流程. 这些指导方针提高了数据的可复制性,并促进了可持续的计算科学实践.
科学领域:
- 计算科学 计算科学
- 数据管理数据管理
- 开放科学是一个开放的科学.
背景情况:
- 研究数据的快速积累需要强大的数据管理策略.
- 可重现的科学是全球优先事项,受到不断增加的数据量挑战.
- 公平原则 (可查找,可访问,可互操作,可重复使用) 指导数据价值的最大化.
研究的目的:
- 为研究软件 (FAIR4RS) 适应FAIR原则.
- 为科学工作流程应用FAIR4RS原则提供实用指南.
- 提高研究软件和工作流程的可复制性和可重复使用性.
主要方法:
- 开发10个快速提示,用于将FAIR4RS原则应用于工作流程.
- 根据FAIR缩写 (可找到,可访问,可互操作,可重复使用) 的提示排列.
- 包括解释,澄清每个提示与FAIR4RS原则的相关性.
主要成果:
- 一套为研究人员和工作流开发人员提供10个可操作的技巧.
- 关于如何在计算工作流程中实施FAIR4RS原则的明确指导.
- 一个框架,以提高科学工作流程的可持续性和可重复性.
结论:
- 建议的技巧可以作为工作流开发人员的实际指南.
- 实施这些技巧有助于更可复制和可持续的计算科学.
- 该倡议旨在积极影响开放科学和FAIR社区.
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