公平软件 - - 对研究软件的公平原则的实际实施
Eva Martín Del Pico1, Josep Lluís Gelpí1,2, Salvador Capella-Gutierrez1
1Barcelona Supercomputing Center (BSC), 08034 Barcelona, Spain.
Bioinformatics (Oxford, England)
|July 22, 2024
概括
我们开发了定量指标来评估生命科学研究软件的质量,灵感来自FAIR数据原则. 这项工作提供了客观措施,以提高软件在研究中的可持续性和可重复性.
科学领域:
- 生命科学 生命科学
- 计算生物学 计算生物学
- 生物信息学是一种生物信息学.
背景情况:
- 生命科学领域的研究软件在可重现性和验证性方面面临着挑战.
- 问题包括文档不足,不透明,错误和不可用性,影响科学质量.
- FAIR (可查找,可访问,可互操作,可重复使用) 数据原则为软件质量提供了一个模型.
研究的目的:
- 为生命科学研究软件质量提出定量指标.
- 在OpenEBench平台上使用FAIR原则实现这些指标.
- 分析当前的软件质量实践,并确定需要改进的领域.
主要方法:
- 基于对"公平原则"的务实解释,制定了量化指标.
- 在OpenEBench上实施的指标,这是ELIXIR用于科学比较和软件质量观察的平台.
- 从11个不同的来源收集和分析软件元数据.
主要成果:
- 为研究软件生成了一系列全面的定量指标.
- 提供了对软件质量特征当前实践的客观见解.
- 确定了提高生命科学研究软件质量和可持续性的机会.
结论:
- 开发的指标提供了一个务实的方法来评估研究软件的质量.
- 在OpenEBench上实施,便于对软件功能进行基准测试和监控.
- 这项工作支持生命科学领域的可重复和可持续研究的进步.
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