论文标题

电子实验室笔记本:懒惰的方法

Electronic Laboratory Notebook: A lazy approach

论文作者

Schubotz, Simon, Schubotz, Moritz, Auernhammer, Günter K

论文摘要

良好的研究数据管理对于现代实验室工作至关重要。存在高度具体的各种解决方案,要么需要大量努力才能适当定制。本文为数据驱动的演绎研究中的个人和小组研究人员提供了一种综合解决方案。我们的电子实验室书籍是由笔记和文件产生的,这些笔记和文件是由一个或几个实验生成的。然后,生成的电子实验室书将在基于Django的网站上介绍。元数据的自动收集大大减少了实验室工作者的文档工作,并防止了手动输入基本元数据的重复任务中的人为错误。熟练的用户可以快速将电子实验室书籍软件适应他的需求,因为该软件采用了广泛使用的开源软件库,这些软件库具有活跃的社区和出色的文档。

Good research data management is essential in modern-day lab work. Various solutions exist that are either highly specific or need a significant effort to be customized appropriately. This paper presents an integrated solution for individuals and small groups of researchers in data-driven deductive research. Our electronic lab book generates itself out of notes and files, which are generated by one or several experiments. The generated electronic lab book is then presented on a Django-based website. The automated gathering of metadata significantly reduces the documentation effort for the lab worker and prevents human error in the repetitive task of manually entering basic meta-data. The skilled user can quickly adapt the electronic lab book software to his needs because the software employs widely used open-source software libraries with active communities and excellent documentation.

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