Call for participation Until now the focus of NFDI4Chem and Ontologies4Chem was mainly contributing to existing ontologies, improving the quality and extending their scope. Our latest activities included the Ontologies4Chem […]
NFDI4Chem – Article “Treatment of research data” online now. The article appears in the October issue (2022) of the Journal “Nachrichten aus der Chemie” and highlights the tools and solutions […]
The first Ontologies4Chem Workshop organised by NFDI4Chem took place on September 7th – 8th 2022. Over 50 international participants accepted the invitation to the online event. The overarching aim of […]
TUCAN is a canonical serialisation format that is independent of domain-specific concepts of structure and bonding. The atomic number is the only chemical feature that is used to derive the […]
Since the last software release in July 2022, researchers can publish their datasets in RADAR4Chem even with an unlimited embargo. In this case, only the descriptive metadata will be published; […]
Research Data Management is not just a national effort. The lack of data publication is an issue researchers face from all around the globe. Therefore, it is important that we […]
Technical sessions were held in-person and virtually from June 17 to 19 for several of the extension projects for the InChI Standard. Topics covered included organometallics, extended stereochemistry and tautomers. […]
In the research article in the Journal of Computational Chemistry entitled “Geometrical benchmarking and analysis of redox potentials of copper(I/II) guanidine-quinoline complexes: Comparison of semi-empirical tight-binding and DFT methods and […]
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 […]
Why are ontologies an essential building block not only for NFDI4Chem, but all NFDI? FAIR data is all about human AND machine-readable data. Ontologies are used to semantically describe data, […]
