Published in Chemistry-Methods
Sharing of data with the scientific community plays an important role in conducting FAIR and sustainable research. As an example, reporting experimental results (also negative ones) in a systematic, machine-readable way will enable automated data curation and machine learning processes in the near future.
On the smallest scale, experimental data are shared within laboratories, working groups, or institutions. The electronic laboratory notebook Chemotion provides a sharing feature which allows to share data easily with others on various hierarchy levels and furthermore offers the possibility to generate joint databases for almost every desirable need.
In this publication in Chemistry-Methods, we explain the sharing feature of Chemotion and propose a sharing policy as a best practice model to have a consistent and easily applicable guideline for all scientists in a laboratory, working group, or institution. These guidelines may serve as a foundation and recommendation for other scientists who like to use the ELN Chemotion and its sharing feature.
Read more: F. Fink, H. M. Hüppe, N. Jung, A. Hoffmann, S. Herres-Pawlis,Sharing is Caring: Guidelines for Sharing in the Electronic Laboratory Notebook (ELN) Chemotion as applied by a Synthesis-oriented Working Group, Chem. Methods 2022, doi: 10.1002/cmtd.202200026.
