Jupyter4NFDI - Proposal for the Integration Phase of Base4NFDI

Jupyter is an important pillar for achieving comprehensible and reproducible scientific results. The platform also provides access to various computing and data resources that can be accessed via a single entry point, the JupyterHub, for the scientific community in Germany and beyond. During the initialisation phase of the service, several preparatory goals were achieved, which can now be further integrated in the NFDI consortia, individual use cases and scientific communities. Likewise,further external resources can be integrated. Both will be achieved through calls for incubator projects, which will be carried out together with interested parties during the course of the project. Furthermore, we will continue to develop the service in response to requests from researchers, consortia and, particularly, the incubator projects. This approach has already proven successful in the initial phase and has led to features such as the repo2docker integration, the use of custom Docker images and shareable links for Jupyter configurations. On this sound basis, we will generate content that can be used for end-user and multiplier training in the communities. The content addresses Jupyter itself, the FAIR principles and how they can be implemented using Jupyter. Domain-specific information and best practices from the consortia will also be integrated.