When History Matters - Assessing Reliability for the Reuse of Scientific Workflows
When History Matters - Assessing Reliability for the Reuse of Scientific Workflows
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当历史重要时 - 评估科学工作流程重用的可靠性
DOI：
10.1007/978-3-642-41338-4_6
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发表时间：
2013
期刊：
影响因子：
9.8
通讯作者：
G. Klyne
中科院分区：
文献类型：
--
作者：
José Manuél Gómez;Esteban García;Aleix Garrido;J. E. Ruiz;Jun Zhao;G. Klyne
科学工作流程在计算研究中扮演着重要的角色，作为传达用于产生研究结果的方法的重要工件。我们正在见证越来越多的努力，将工作流视为共享和交换科学知识的一流工件，无论是作为学术文章的一部分还是作为独立对象。然而，工作流并不是天生可靠的，这可能严重损害其作为知识交换工具的可重用性和可信度。科学工作流程通常会衰减，从而破坏其生命周期的可靠性。工作流程的可靠性可以通过倡导科学家保留最少的信息来显着提高，这些信息对于帮助解释这些工作流程至关重要，从而提高其可重复性和可重用性的潜力。在本文中，我们将展示如何通过测量和监控科学工作流程的完整性和稳定性，随着时间的推移，我们能够为科学家提供一个衡量其可靠性，支持重用值得信赖的科学知识。
Scientific workflows play an important role in computational research as essential artifacts for communicating the methods used to produce research findings. We are witnessing a growing number of efforts that treat workflows as first-class artifacts for sharing and exchanging scientific knowledge, either as part of scholarly articles or as stand-alone objects. However, workflows are not born to be reliable, which can seriously damage their reusability and trustworthiness as knowledge exchange instruments. Scientific workflows are commonly subject to decay, which consequently undermines their reliability over their lifetime. The reliability of workflows can be notably improved by advocating scientists to preserve a minimal set of information that is essential to assist the interpretations of these workflows and hence improve their potential for reproducibility and reusability. In this paper we show how, by measuring and monitoring the completeness and stability of scientific workflows over time we are able to provide scientists with a measure of their reliability, supporting the reuse of trustworthy scientific knowledge.