通过版本控制和区块链推进开放科学

Jonathan Bell, Thomas D. Latoza, Foteini Baldimtsi, A. Stavrou
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引用次数: 21

摘要

科学界正面临着可再现性的危机:对实验数据的完整性和应用于这些数据的分析的担忧破坏了对科学结果的信心。当研究人员忽视实验程序的一些重要组成部分时,或者当研究人员或恶意的第三方为了确保实验的特定结果而有偏见时,实验的完整性可能在无意中受到损害。科学界一直在推动“开放科学”,以增加实验过程的透明度,要求研究人员公开注册他们的数据集和实验程序。我们认为,软件工程社区可以利用其在跟踪可追溯性和源代码及其相关工件的来源方面的专业知识来简化科学家的数据管理。此外,通过利用智能合约和区块链技术,我们相信这样的系统可以在支持协作研究的同时保证科学数据和结果的端到端完整性。
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Advancing Open Science with Version Control and Blockchains
The scientific community is facing a crisis of reproducibility: confidence in scientific results is damaged by concerns regarding the integrity of experimental data and the analyses applied to that data. Experimental integrity can be compromised inadvertently when researchers overlook some important component of their experimental procedure, or intentionally by researchers or malicious third-parties who are biased towards ensuring a specific outcome of an experiment. The scientific community has pushed for "open science" to add transparency to the experimental process, asking researchers to publicly register their data sets and experimental procedures. We argue that the software engineering community can leverage its expertise in tracking traceability and provenance of source code and its related artifacts to simplify data management for scientists. Moreover, by leveraging smart contract and blockchain technologies, we believe that it is possible for such a system to guarantee end-to-end integrity of scientific data and results while supporting collaborative research.
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A Novel Coupling Pattern in Computational Science and Engineering Software Advancing Open Science with Version Control and Blockchains WIP: Live Restructuring of Data Architecture WIP: Generating Sequence Diagrams for Modern Fortran WIP: Prov-SE-O: A Provenance Ontology to Support Scientists in Scientific Experimentation Process
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