JupyterHub.nrw

Betreibende Institution: Universität Münster
Kategorie: Kooperativer Hochschuldienst
Website: https://www.jupyterhub.nrw/

Kurzbeschreibung

JupyterHub.nrw is a central service for interactive data analysis that provides students, teaching staff, and researchers at universities in North Rhine-Westphalia with a pre-configured, browser-based working environment. The target group consists of users in university teaching and research who wish to access a powerful, platform-independent environment for working with Jupyter Notebooks. The service enables simple, location-independent access to software and tools without requiring personal hardware. For universities, it offers a standardized, securely operated infrastructure to support digital teaching and learning processes.

Thematische Einordnung

Dienstart: -

Funktionskategorie: Cloud services / Collaborative working

Schlagworte: - JupyterHub.nrw
- Multi-User Notebooks
- digital teaching and learning environment
- cloud-based working environment
- LMS integration (Moodle, ILIAS)
- interactive data analysis
- pre-built container images
- time- and location-independent
- didactic support
- students and researchers in NRW

Kooperationsstruktur

Betreibende Institution: Universität Münster

Koordination / Dachorganisation: Universität Münster

Teilnehmende Hochschulen: 4 Hochschulen in Nordrhein-Westfalen: Universität Münster, Hochschule Bonn-Rhein-Sieg (H-BRS), Ruhr-Universität Bochum (RUB), Technische Universität Dortmund

Kooperationsmodell: Distributed – Multiple universities jointly operate various areas of the project, with each university responsible for a specific area (e.g., University of Münster for JupyterHub and infrastructure, Bonn-Rhein-Sieg University of Applied Sciences for E2X integration, Ruhr-University Bochum for LMS integration, Technical University of Dortmund for didactic aspects).

Governance-Struktur: Consortial governance with clear distribution of responsibilities among the participating universities: University of Münster (lead, JupyterHub, infrastructure), Bonn-Rhein-Sieg University of Applied Sciences (E2X integration), Ruhr-University Bochum (LMS integration), Technical University of Dortmund (didactics).

Geografischer Scope

Räumliche Reichweite: Statewide (one federal state)

Bundesland: Nordrhein-Westfalen

Finanzierung & Nachhaltigkeit

Finanzierungsmodell: -

Fördergeber: Nicht angegeben

Umsetzungsphase: Pilot operation (test, beta)

Zielgruppen & Zugang

Zielgruppen: -

Zugangsvoraussetzungen: Account of a participating university in NRW, registration via DFN-AAI, currently only available for pilot universities (University of Münster, H-BRS, RUB, TU Dortmund)

Zugangsmodell: Only for selected pilot universities in NRW (University of Münster, H-BRS, RUB, TU Dortmund)

Ausführliche Beschreibung

JupyterHub.nrw is a central, state-wide service providing students, teaching staff, and researchers at universities in North Rhine-Westphalia (NRW) with simple and secure access to interactive, web-based working environments. The service is based on Jupyter Notebooks technology – digital documents in which text, code, graphics, and calculations can be collaboratively created and shared. With JupyterHub.nrw, users can directly access a fully pre-configured digital working environment via their web browser, without needing to install software or worry about technical setup. The platform is independent of personal hardware and works on laptops, tablets, and smartphones alike.

The major added value of JupyterHub.nrw lies in simplifying access to powerful digital tools for data analysis, programming, and scientific work. Students, for example, can use it to complete assignments, conduct data analysis, and develop computational models in a collaborative and reproducible manner. The service supports a wide range of disciplines, including computer science, mathematics, natural sciences, engineering, social sciences, and humanities. It enables educators to create and distribute interactive learning materials, such as tutorials, coding exercises, and data visualization projects, directly within the browser. Additionally, researchers can use JupyterHub.nrw to manage and share their workflows, ensuring transparency and reproducibility in scientific research. The platform integrates with existing university IT infrastructure and supports authentication via institutional login systems (e.g., Shibboleth). It also provides scalable computing resources, including access to high-performance computing (HPC) clusters and cloud-based services, through APIs and containerized environments. For advanced users, JupyterHub.nrw supports custom environments, including pre-installed libraries and specialized software packages. The service is maintained and operated by the NRW State Ministry for Innovation, Science and Digitalization in collaboration with university IT departments and the German Research Foundation (DFG). More information is available at https://jupyterhub.nrw.

Technische Angaben

Eingesetzte Technologien: ["JupyterHub", "Docker", "Kubernetes", "REST", "OAuth2", "Moodle", "ILIAS"]

Plattform: Hybrid

Datenstandort: North Rhine-Westphalia

Schnittstellen: [DFN-AAI, Shibboleth, REST-API, WebDAV, Desktop-Client]

Service-Informationen

Leistungsumfang: Provision of a state-wide Jupyter service with LMS integration, pre-configured container images, training, examination tools, and multi-user notebooks for universities in NRW.

Support-Angebot: Email support via support@jupyterhub.nrw is available; further assistance is provided in the documentation.

Schulungsangebote: Training offerings are planned in the field of didactics, particularly further education for instructors on the didactic integration of Jupyter Notebooks into teaching, as well as support for students in using the platform. The documentation additionally provides guidelines and tutorials for getting started and using the working environment.

Kontakt & Links

Kontakt: support@jupyterhub.nrw

Dienst-URL: https://www.jupyterhub.nrw/

Dokumentation: https://www.jupyterhub.nrw/docs

Erfasst: 2026-01-11
Quelle: https://www.jupyterhub.nrw/