Science is a collaborative activity by definition. Research is usually conducted by several scientists working together, and this behavior has been intensified in recent years. Furthermore, experiments are increasingly performed in silico, which demands proper support tools. Provenance-aware Workflow Management Systems and script-based tools have been popular ways of running in silico experiments, but these tools often neglect the collaboration aspect. Even solutions that aim at collaborative experiments do not always address the collaborators- needs. Literature shows surveys discussing subjects related to in silico experiments. However, they either focus on provenance collection and applications, thus treating collaboration as just another possible application, or focus on Workflow Management Systems, only listing collaboration as a possible challenge. This article surveys available tools and approaches that aim at aiding scientists to conduct collaborative in silico experiments. Particularly, we focus on challenges related to the provenance of these collaborative experiments. We devise a taxonomy with the aspects of collaboration in scientific research and discuss each of these aspects. We also identify literature gaps that provide future opportunities.

中文翻译：

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计算机科学研究合作的出处

从定义上讲，科学是一项协作活动。研究通常由几位科学家共同进行，近年来这种行为愈演愈烈。此外，越来越多的实验在计算机上进行，这需要适当的支持工具。来源感知工作流管理系统和基于脚本的工具一直是运行计算机实验的流行方式，但这些工具往往忽略了协作方面。即使是针对合作实验的解决方案也不一定能满足合作者的需求。文献显示了讨论与计算机实验相关的主题的调查。然而，他们要么专注于来源收集和应用程序，因此将协作视为另一种可能的应用程序，要么专注于工作流管理系统，仅将协作列为可能的挑战。本文调查了旨在帮助科学家进行协​​作计算机实验的可用工具和方法。特别是，我们专注于与这些协作实验的出处相关的挑战。我们设计了一个包含科学研究合作方面的分类法，并讨论了这些方面的每一个方面。我们还确定了提供未来机会的文献空白。