
This report presents a snapshot of research data management (RDM) initiatives within the chemistry domain in Germany and the Netherlands and areas where potential improvements could be made, as presented and discussed during the FAIR4ChemNL workshop, held on 4-5 June 2024 in Utrecht, the Netherlands. Not only will the results of this discussion be interesting to those wanting to enhance data-driven science, but readers are encouraged to replicate the format of this collaboration process so as to guide or contribute to the developments that are needed to transform RDM across chemistry research and other scientific fields. The paper identifies current challenges and makes specific suggestions for technical and cultural solutions that could be implemented to catalyse the implementation of RDM practices across the chemistry discipline, as well as their adoption by the community. Some of these will be pursued as projects in Germany and the Netherlands from 2025 onwards, initially focusing on: the alignment of RDM practices and infrastructures; the collection, development and alignment of ontologies; the co-development of trainings to foster cultural change; the continuation of knowledge exchange between the two countries through regular interactions, and the organisation of joint events for the community. The FAIR4ChemNL workshop was hosted by the Dutch Thematic Digital Competence Centre for the Natural and Engineering Sciences (TDCC-NES) and co-organised with the NFDI for Catalysis-Related Sciences (NFDI4Cat). Participants came from across chemistry and the supporting research environments.
RDM
RDM
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
