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Cybersecurity, which serves to protect computer systems and data from malicious and accidental abuse and changes, both supports and challenges the reproducibility of computational science. This position paper explores a research agenda by enumerating a set of two types of challenges that emerge at the intersection of cybersecurity and reproducibility: challenges that cybersecurity has in supporting the reproducibility of computational science, and challenges cybersecurity creates for reproducibility of computational science.more » « less
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The PRIMAD model with its six components (i.e., Platform, Research Objective, Implementation, Methods, Actors, and Data) provides an abstract taxonomy to represent computational experiments and promote reproducibility by design. In this paper, we employ a post-hoc assessment of the model applicability to a set of Laser Interferometer Gravitational-Wave Observatory (LIGO) workflows from literature sources (i.e., published papers). Our work outlines potential advantages and limitations of the model in terms of its levels of abstraction and means of application.more » « less
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This article describes experiences and lessons learned from the Trusted CI project, funded by the US National Science Foundation (NSF) to serve the community as the NSF Cybersecurity Center of Excellence (CCoE). Trusted CI is an effort to address cybersecurity for the open science community through a single organization that provides leadership, training, consulting, and knowledge to that community. The article describes the experiences and lessons learned of Trusted CI regarding both cybersecurity for open science and managing the process of providing centralized services to a broad and diverse community.more » « less
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