Roadmap

Current Status¶

Participating institutions: All universities in NRW can join
Target group: Researchers, lecturers, and students who want to independently analyze/visualize data using scripting languages (Python, R, Julia) or programming languages (C++, Go, Rust)
Use cases: Data Science, Machine Learning, and Software Development (supported by corresponding JupyterHub Software Images, i.e. pre-installed software packages); additional images including Digital Humanities in planning
Use in courses/workshops: Initial simple use with task distribution, but without course management or grading

Hardware procurement and start of integration into Uni Cloud Münster
Setup of JupyterHub installations for consortium universities
Setup of software images for general use cases (Data Science, Machine Learning, Software Development)
Onboarding of consortium universities
Start of use for researchers, lecturers, and students (early adopters) at consortium universities
Setup of the JupyterHub.nrw website

Development/integration of features for teaching
- NBGitPuller for simple use of Jupyter notebooks in courses with notebook distribution via Git
- First use in courses and workshops (with task distribution, but without course management or grading)

Establishment of onboarding processes for new participating universities
Development/integration of new core features
- Rescue mode and self-service option for cleaning the home directory
- Log viewer

Finalization of contract templates "Participation Agreement" and "Data Processing Agreement"
Finalization of terms of use and privacy policy
Relaunch of the JupyterHub.nrw website

Start of testing the course management software e2x (complete course lifecycle: provision, editing, submission, and grading of exercises)
Start of testing the LMS plugin for Moodle integration

Piloting of exam administration (selected courses)
Clarification of organizational and legal framework conditions for exam administration