Conveners
RSE research
- Anna-Lena Lamprecht (Universität Potsdam, Institut für Informatik und Computational Science)
Research outputs in general require certain qualities to facilitate reuse as described by the FAIR Principles. For research software specifically, software engineering methods can help realize these goals. However, the desired qualities may differ between commercial and research software or even software in HPC environments. The focus on performance introduces challenges such as additional...
In a digitalized world, the use and development of research software is fundamental for research. Reusing research software can improve the quality and efficiency of research. Therefore, Chue Hong et al. defined the FAIR principles for research software [1] which describe how FAIR search software looks like. Ideally, making research software FAIR is not the last step in the research process....
For the vast majority of researchers across disciplines, software use is an everyday practice, and data analysis is not the only way of scientific sensemaking with software. The talk presents survey results showing that research pipelines are populated with diverse types of software – among them software tailored for research purposes („research software“) as well as software covering broader...
Researchers often come to us for RSE help with quite specific technical questions, such as "how can I parallelise this Python code?", or "why does this matlab function use all my RAM?", and it can seem natural to dive straight into directly answering their question.
Sometimes this is the best approach to help them, but in many cases it is worth asking some more questions about what it is...
