NFDI4Chem
Published July 12, 2023 | Version v1
Report Open

NFDI4Chem - Deliverable D4.5.1: Report on FAIRness of data datasets published by the community

Creators

  • 1. Leibniz Institute of Plant Biochemistry, Halle (Saale), Germany
  • 2. Friedrich Schiller University Jena, Jena, Germany
  • 3. RWTH Aachen University, Aachen, Germany
  • 4. Johannes Gutenberg University of Mainz, Mainz, Germany

Contributors

  • 1. RWTH Aachen University, Aachen, Germany
  • 2. German Chemical Society GDCh, Frankfurt am Main, Germany
  • 3. Karlsruhe Institute of Technology, Eggenstein-Leopolshafen, Germany
  • 4. Johannes Gutenberg University of Mainz, Mainz, Germany

Description

This deliverable is part of the activities in TA5’s Measure 5.2 on awareness and Measure 4.5 of TA4 on FAIR assessment. 

The aim of these activities were to

  1. identify common antipatterns with opportunities for improvements,

  2. provide examples of best practice of data description and publication, and

  3. highlight these datasets to raise appreciation for good data publication. 

In the FAIR4Chem contest, TA4 and TA5 collaborated to receive, evaluate and reward research datasets published by the wider chemistry community, which also allows for a qualitative assessment of the FAIRness of datasets published. Two entries to this competition in each of the years 2022 and 2023 were awarded the FAIR4Chem Award, which was handed over at the GDCh JCF Spring Symposium in each case. 

For a quantitative assessment in a large-scale survey, we sampled the metadata for a large set of chemistry datasets and performed an automated FAIRness scoring with the F-UJI tool. 

Files

D4.5.1_Report_on_FAIRness_of_datasets_published_by_the_community.pdf

Files (1.4 MB)

Additional details

Funding

NFDI4Chem – Chemistry Consortium in the NFDI 441958208
Deutsche Forschungsgemeinschaft