As a master's student, knowing how to manage your personal research is not only useful for keeping track of your work, but it is also a process that should be learned as a part of your training. As a doctoral student, however, research management is a fundamental part of your overall methodology and it should be a well-planned process. Long-term research requires a good approach to documentation, otherwise you risk getting lost among your many surveyed papers, carried experiments, and results. This approach should be systematic, accessible (mainly to you), low-effort, and a natural part of your daily workflow - it should be there to help you, and not the other way around. In this article, we describe how we relied on a wiki to organize literature, datasets, experiments and results, and we also show how such a systematic approach can lead to better insights through automated meta-analysis. In addition to this content, we provide a docker-based installation of a preconfigured wiki, with the required templates and extensions, along with some examples pages, as well as a Jupyter notebook to analyze your documented work. So read on.
翻译:作为硕士生,知道如何管理你的个人研究不仅对跟踪你的工作有用,而且也是一个作为培训的一部分应该学习的过程。但是,作为一个博士生,研究管理是你总体方法的一个基本部分,它应该是一个周密的计划过程。长期研究需要一种良好的文件记录方法,否则你有可能在众多的被调查论文、随身实验和结果中丢失。这个方法应该是系统、容易获得的(主要为你)、低努力和你日常工作流程的自然部分——应该有帮助你,而不是其他途径。在这个文章中,我们描述了我们如何依靠维基来组织文献、数据集、实验和结果,我们还展示了这种系统方法如何通过自动化的元分析导致更好的洞察力。除了这个内容外,我们还提供了一个基于docker的预先配置的维基,以及一些所需的模板和扩展,以及一些示例页,以及分析你所记录的工作的Jupyter笔记本。请阅读。