Science has a data management as well as a project management problem. While industrial grade data science teams have embraced the *agile* mindset, and adopted or created all kind of tools to manage reproducible workflows, academia-based science is still (mostly) mired in a mindset that's focused on a single final product (a paper), without focusing on incremental improvement and, over all, reproducibility. In this report we argue towards the adoption of the agile mindset and agile data science tools in academia, to make a more responsible, sustainable, and above all, reproducible science.

翻译：科学既存在数据管理问题,也存在项目管理问题。虽然工业级数据科学小组已经接受“格利”心态,采纳或创建了管理可复制工作流程的各类工具,但学术界的科学仍然(主要是)陷入一种以单一最终产品(论文)为焦点的思维模式,而没有注重逐步改进,而且最重要的是,可以再复制。 在本报告中,我们主张在学术界采用灵活思维和灵活的数据科学工具,使科学更负责任、更可持续,最重要的是,更能再生。