For the second time, we were in the fortunate position of being able to award best practice in the use of FAIR data. FAIR means Findable, Accessible, Interoperable and Reusable,
To promote a culture change towards publishing FAIR data, And what is needed for FAIRness?
and last but not least: Good examples are invaluable to showcase what is already possible today!.
With the FAIR4Chem Award, we therefore honor researchers who conduct research at the highest level and at the same time store one’s data FAIR and thus make it available to the entire community.
Data sets could be submitted from Sept. 15 to Nov. 15, 2022. These were reviewed in a two-stage process using the criteria of the FAIR assessment tool developed by the Australian Research Data Commons infrastructure and then evaluated by a panel of judges.
Lena Daumann about FAIR Data and the award!
Johanna R. Bruckner: “Predictive design of ordered mesoporous silica with well-defined, ultra-large mesopores,” deposited in DaRUS. (DOI: https://doi.org/10.1039/D2ME00107A)
Lena Daumann: “Modular Synthesis of New Pyrroloquinoline Quinone Derivatives,” stored in the Chemotion Repository. (DOI: https://doi.org/10.1055/s-0041-1738426)
The awards were presented on March 23rd at the Spring Symposium of the GDCh JungChemikerForum in Gießen, where Prof. Daumann and Selina Itzigehl (on behalf of Prof. Bruckner) also gave a short talk on the research underlying the dataset.