通过数据到知识包鼓励计算研究的可重复使用性 - - 水文学用例
Markus Konkol1, Astra Labuce2, Sami Domisch3
152°North Spatial Information Research, Münster, 48155, Germany.
Open research Europe
|August 11, 2025
概括
可复制的研究需要的不仅仅是数据和代码;它需要理解和重复使用的工具. 数据转化为知识包 (D2K-Package) 通过整合数据,代码和工作流来促进知识生成.
科学领域:
- 科学计算是科学计算.
- 数据科学是数据科学.
- 研究方法研究方法论.
背景情况:
- 越来越多地需要可重复的研究,以使知识可重复使用.
- 目前的可复制性努力往往不足,需要用户大量的努力来理解数据和代码.
- 在促进研究组件的实际再利用的工具中存在差距.
研究的目的:
- 引入数据转化为知识包 (D2K-Package) 作为一种解决方案,以增强可重复利用的研究.
- 提供一个整合数据,源代码,计算工作流和虚拟实验室的框架.
- 通过降低理解和再利用研究成果的障碍来促进新知识的产生.
主要方法:
- 开发了D2K-Package,包括源代码和开放的FAIR数据在内的研究材料集合.
- 设计了一个核心可重复基础 (数据和源代码) 的包,其他组件是从中衍生出来的.
- 集成的虚拟实验室,Web API服务和计算工作流程,以提高可用性.
- 使用水文学用例证明了适用性.
主要成果:
- D2K-Package成功地将多样化的研究材料集成到一个凝聚在一起的单元中.
- 核心可重现的基础允许导出其他包装组件.
- 一个水文用例验证了包装的功能和测试潜力.
- 包装设计支持无集成到现有的研究周期.
结论:
- D2K-Package有效地解决了使可复制的研究真正可重复使用的挑战.
- 它降低了研究人员理解,重复使用和建立现有研究的障碍.
- 该方案通过提高可重复的研究成果的实用性来促进新知识的产生.
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