Integrity Protection for Research Artifacts using Open Science Chain’s Command Line Utility

Integrity Protection for Research Artifacts using Open Science Chain’s Command Line Utility
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使用 Open Science Chain 命令行实用程序保护研究文物的完整性

DOI:
10.1145/3437359.3465587
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发表时间:
2021
期刊:
PEARC '21: Practice and Experience in Advanced Research Computing
影响因子:
--
通讯作者:
Sivagnanam, Subhashini
Sivagnanam, Subhashini
中科院分区:
--
文献类型:
--
作者:
Shantharam, Manu;Lin, Kai;Sakai, Scott;Sivagnanam, Subhashini

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科学数据及其分析、准确性、完整性和可重复性在推进科学和工程方面发挥着至关重要的作用。开放科学链(OSC)是一个网络基础设施平台,使用Hyperledger Fabric(HLF)区块链技术构建,以解决与科学研究中的数据可重复性和问责制相关的问题。OSC保持了研究数据集的完整性,并使不同的研究小组能够共享具有完整性信息的数据集。此外,它还可以快速验证用于特定已发表研究的确切数据集并跟踪其出处。在本文中,我们描述了OSC的命令行实用程序,该实用程序将保留研究人员环境中或用于研究的HPC资源或校园集群等远程系统中的研究数据集的完整性。基于Python的命令行实用程序可以无缝集成到研究工作流中,并提供了一种简单的方法来保护OSC区块链平台中研究数据的完整性。
Scientific data, its analysis, accuracy, completeness and reproducibility play a vital role in advancing science and engineering. Open Science Chain (OSC) is a cyberinfrastructure platform built using the Hyperledger Fabric (HLF) blockchain technology to address issues related to data reproducibility and accountability in scientific research. OSC preserves integrity of research datasets and enables different research groups to share datasets with the integrity information. Additionally, it enables quick verification of the exact datasets that were used for a particular published research and tracks its provenance.In this paper, we describe OSC’s command line utility that will preserve the integrity of research datasets from within the researchers’ environment or from remote systems such as HPC resources or campus clusters used for research. The python-based command line utility can be seamlessly integrated within research workflows and provides an easy way to preserve the integrity of research data in OSC blockchain platform.
DOI: 10.1136/bmj.b4647
发表时间: 2009-11
期刊: BMJ : British Medical Journal
影响因子: --
作者:
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