RADAR4Chem participates in Jupyter4NFDI Incubator Project

RADAR4Chem participated in the 2026 incubator process of the NFDI Basic Service Jupyter4NFDI together with partners from the NFDI4Chem consortium and collaborating institutions. The project explored how Jupyter notebooks can facilitate the reuse of research data and simplify access to NFDI4Chem services and repositories.

Jupyter4NFDI provides a JupyterHub environment that enables researchers to develop and execute interactive notebooks for data retrieval, analysis and processing. Within the incubator project, demonstrator notebooks were created for several NFDI4Chem services and repositories, illustrating how standardised interfaces can be integrated into reproducible research workflows.

RADAR4Chem contributed a notebook demonstrating the retrieval and processing of metadata from the repository. It makes use of both the RADAR REST API and the public SPARQL endpoint of the RADAR Knowledge Graph. While the REST API provides access to repository resources and metadata, the SPARQL endpoint enables flexible queries on datasets represented using the standardised schema.org vocabulary. Helper classes were developed to simplify access to the RADAR repository (data and metadata) without the need of in-depth details about the endpoints.

Overall, the incubator project demonstrated that integrating data from NFDI4Chem repositories and services into Jupyter notebooks is straightforward using existing APIs and standardised interfaces. The resulting notebooks serve as practical blueprints for more advanced workflows, including the combination of information from multiple services, and will also be used as training material in future workshops.

Building on the successful results of the first incubator project, participation in a second Jupyter4NFDI incubator process is planned to further expand the developed concepts and demonstrators.