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.

Automated summary

The documentation and storage of experimental data are essential in research data management and science. Collecting and sharing machine-readable data, including negative results, is a crucial step in automated data curation and data generation for machine learning processes. The electronic laboratory notebook, Chemotion, enables the sharing of synthesis data with other scientists while considering these aspects.