1 April 2021
Daniel Nüst is a research software engineer working on the project “Opening Reproducible Research” at the Institute for Geoinformatics, University of Münster. In this episode, we talk about RSE career paths, reproducible research, and computational workflows under peer review.
After finding his dream discipline of geoinformatics as a student, Daniel Nüst continued learning more about the Earth by supporting researchers with latest computer science methods as a developer and consultant at 52°North, a non-profit company for applied research with Open Source software. An RSE by tasks but not title already then, he joined the German RSE community while pursuing a PhD back at the Institute for Geoinformatics at the university of Münster. Now he is vice-chair of the German RSE association and conducts research in the areas of Open Science and computational reproducibility.
If you want to learn more about the 52°North Initiative for Geospatial Open Source Software GmbH, a non-profit private research organisation and network for innovation, check out https://52north.org/about-us/profile/.
For the service, Daniel created short and long reading lists around reproducibility, sorted by time available to spend. See here for details.
On research software vs. career paths and recognition of RSE work, you should check out de-RSE’s first position paper An environment for sustainable research software in Germany and beyond: current state, open challenges, and call for action.
For CODECHECK, check out how to Get involved as codechecker, author, reviewer, editor or stakeholder from a journal, publisher of conference.