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.

中文翻译：

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以Wiki方式管理研究：记录研究的系统方法

作为硕士生，知道如何管理个人研究不仅对跟踪您的工作有用，而且在培训中应该学习这一过程。但是，作为一名博士生，研究管理是您整体方法论的基本组成部分，并且应该是精心计划的过程。长期研究需要一种好的记录方法，否则您将有机会迷失在许多被调查的论文，进行的实验和结果中。这种方法应该系统化，易于使用（主要由您使用），省力并且是日常工作流程的自然组成部分-应该在这里为您提供帮助，而不是相反。在本文中，我们描述了如何依靠Wiki来组织文献，数据集，实验和结果，我们还将展示这种系统的方法如何通过自动化的荟萃分析带来更好的见解。除了这些内容之外，我们还提供了一个基于docker的预配置Wiki安装，其中包含所需的模板和扩展名以及一些示例页面，以及一个Jupyter笔记本，用于分析您记录在案的工作。继续阅读。