共享即关怀:由合成导向工作组应用的电子实验室笔记(ELN)化学共享指南**

IF 6.1 Q1 CHEMISTRY, MULTIDISCIPLINARY
Fabian Fink, Henrika M. Hüppe, Dr. Nicole Jung, Dr. Alexander Hoffmann, Prof. Dr. Sonja Herres-Pawlis
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引用次数: 3

摘要

实验数据的记录和存储在研究数据管理和一般科学中是至关重要的。关于自动数据管理和机器学习过程的数据生成,收集和共享机器可读数据(包括负面结果)是关键步骤。电子实验室笔记本(ELN) Chemotion提供了与其他研究人员共享合成数据的可能性,同时考虑到上述方面。在这些指南中,我们提供了关于如何在Chemotion中共享数据的一般信息,并将我们的共享策略作为一个最佳实践示例,介绍了如何在具有不同层次结构的多个组成员的工作组中使用Chemotion的共享功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Sharing is Caring: Guidelines for Sharing in the Electronic Laboratory Notebook (ELN) Chemotion as applied by a Synthesis-oriented Working Group**

Sharing is Caring: Guidelines for Sharing in the Electronic Laboratory Notebook (ELN) Chemotion as applied by a Synthesis-oriented Working Group**

The documentation and storage of experimental data is crucial in research data management and science in general. With regard to automated data curation and the generation of data for machine learning processes, the collection and sharing of machine-readable data, including negative results, is a key step. The electronic laboratory notebook (ELN) Chemotion provides the possibility to share synthesis data with other scientists taking the mentioned aspects into account. In these guidelines, we offer general information on how to share data in Chemotion and present our sharing policy as a best practice example on how to use Chemotion's sharing functions in a working group with several group members on various hierarchy levels.

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CiteScore
7.30
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