EVERSE Webinar: The Research Software Quality Toolkit

Thursday 22 Jan 2026, 11:00 → 12:30 Europe/Zurich

Shoaib Sufi (University of Manchester)

If you are involved with research software (e.g., research software engineers, researchers, investigators, managers, service providers and policy makers) and think quality is important, then this presentation is for you!

The Research Software Quality Toolkit (RSQKit) is a collaboratively produced knowledge base that includes:

• tasks with links to training and tools to improve your research software quality practices;
• exemplars of real software practice in the form of Research Software Stories;
• guidance for different roles in research software and the part they play;
• a list of Research Clusters and Research Infrastructures that make heavy use of research software and
• a model for understanding the research software process and wider context.

The guidance is applicable across domains with an early focus on the EOSC linked Science Clusters.

The RSQKit development is led by the EVERSE project. It links to the work around tooling (TechRadar), the training catalogue (EVERSE Training) and the EVERSE software quality dimensions and indicators. RSQKit takes a ‘linking out’ approach aiming to strengthen connections without re-inventing. 

All EVERSE events are governed by our Code of Conduct.

 

You can join the EVERSE Network here!

11:00 → 12:00 The Research Software Quality Toolkit (RSQKit)

In this presentation we will discuss the motivation, model and context of RSQKit .We will cover the different page types and what benefits and aspects of research software quality they help with and how they can help improve practice, share effective practice & impact, give role-based guidance, domain specific communities and link out to relevant practical tools and training.

12:00 → 12:30 How to contribute to the RSQKit

The RSQKit is written for the community and by the community, it’s open for contributions, suggestions and available to share your software stories and link to relevant training and tools; we will cover how you can contribute and how you will be credited for these contributions. RSQKit is openly licensed and available on GitHub.

Ways to contribute:

• Consider writing or offering to review an RSQKit task page or add a missing topic;
• Consider writing a research software story (see the guidance);
• Raise an issue about the RSQKit on GitHub and/or get in touch with the RSQKit Editorial Board;
• See further information on how to get involved.