Research Workflows - Towards reproducible science via detailed provenance tracking in Open Science Chain

Research Workflows - Towards reproducible science via detailed provenance tracking in Open Science Chain
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研究工作流程 - 通过开放科学链中详细的来源跟踪实现可重复的科学

DOI:
10.1145/3311790.3399619
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发表时间:
2020
期刊:
PEARC 20: Practice and Experience in Advanced Research Computing
影响因子:
--
通讯作者:
Sivagnanam, S
Sivagnanam, S
中科院分区:
--
文献类型:
--
作者:
Nandigam, V;Lin, K;Shantharam, M;Sakai, S;Sivagnanam, S

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科学研究一直在努力解决与再现性相关的问题,部分原因是数据共享率低和缺乏来源。当研究结果无法被复制时,研究假设的可信度就会受到质疑。虽然不断增长的数据量和计算代码在研究中的广泛使用推动了科学突破,但从可重复性的角度来看,它们在科学出版物中的引用不足。由美国国家科学基金会资助的开放科学链(OSC)是一个使用区块链技术构建的网络基础设施平台,使研究人员能够有效地验证已发布数据的真实性,跟踪其来源并查看谱系。它利用区块链技术来安全地存储有关研究数据的元数据和验证信息,并以可审计的方式跟踪这些数据的变化。在这张海报中,我们介绍了“研究工作流程”的概念,这是一种工具,可以让研究人员创建他们的科学实验的详细工作流程,将他们发表的结果中使用的特定数据和计算代码联系起来,以便对分析进行独立验证。OSC研究工作流程将允许在OSC平台内以及像Github这样的外部存储库中进行详细的来源跟踪,从而提高透明度并促进对科学过程的信任。
Scientific research has always struggled with problems related to reproducibility caused in part by low data sharing rates and lack of provenance. Credibility of the research hypothesis comes into question when results cannot be replicated. While the growing amount of data and widespread use of computational code in research has been pushing scientific breakthroughs, their references in scientific publications is insufficient from a reproducibility perspective.The NSF funded Open Science Chain (OSC) is a cyberinfrastructure platform built using blockchain technologies that enables researchers to efficiently validate the authenticity of published data, track their provenance and view lineage. It does this by leveraging blockchain technology to securely store metadata and verification information about research data and track changes to that data in an auditable manner.In this poster we introduce the concept of ”research workflows”, a tool that allows researchers to create a detailed workflow of their scientific experiment, linking specific data and computational code used in their published results in order to enable independent verification of the analysis. OSC research workflows will allow for detailed provenance tracking both within the OSC platform as well as external repositories like Github, thereby enabling transparency and fostering trust in the scientific process.
引入开放科学链:保护研究数据的完整性和来源
DOI: 10.1145/3332186.3332203
发表时间: 2019
期刊: Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines
影响因子: --
作者:
Sivagnanam, Subhashini;Nandigam, Viswanath;Lin, Kai
通讯作者: Lin, Kai