数据管理在软件可持续性和再现性中的作用

Maria J. Cruz, Shalini Kurapati, Yasemin Turkyilmaz-van der Velden
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引用次数: 3

摘要

在当今数字化的研究环境中,软件和计算工具是科学研究的工具。尽管这个关键的角色,实现最佳实践的道路,以实现研究软件的可重复性和可持续性是具有挑战性的。代尔夫特理工大学(Delft University of Technology)最近开始了一项数据管理的新举措——为研究数据管理提供学科支持,其主要目标之一是实现科学结果的可重复性。在本文中,我们的目标是探索数据管理的潜力,以支持软件的再现性和可持续性。最近,我们聚集了该主题的关键利益相关者(即研究人员、研究软件工程师和数据管理员),在一个研讨会环境中了解挑战和障碍,实现软件可持续性和可再现性所需的支持,以及所有三方如何有效地协同工作。根据研讨会的见解,以及我们作为数据管理员的专业经验,我们得出结论,通过关键利益相关者的协调努力,我们可以通过可能的方式实现软件可再现性和可持续性的重要目标。
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The Role of Data Stewardship in Software Sustainability and Reproducibility
Software and computational tools are instrumental for scientific investigation in today's digitized research environment. Despite this crucial role, the path towards implementing best practices to achieve reproducibility and sustainability of research software is challenging. Delft University of Technology has begun recently a novel initiative of data stewardship - disciplinary support for research data management, one of the main aims of which is achieving reproducibility of scientific results in general. In this paper, we aim to explore the potential of data stewardship for supporting software reproducibility and sustainability as well. Recently, we gathered the key stakeholders of the topic (i.e. researchers, research software engineers, and data stewards) in a workshop setting to understand the challenges and barriers, the support required to achieve software sustainability and reproducibility, and how all the three parties can efficiently work together. Based on the insights from the workshop, as well as our professional experience as data stewards, we draw conclusions on possible ways forward to achieve the important goal of software reproducibility and sustainability through coordinated efforts of the key stakeholders.
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