EVERSE

EVERSE (European Virtual Institute for Research Software Excellence) brings together researchers, research software engineers and service providers to improve the quality, sustainability and FAIRness of research software across Europe.

Project summary

EVERSE’s ambition is to make research software a first-class citizen of the scientific process by defining practical practices, tools and services that help communities write, test, share and sustain high-quality software. The project coordinates a network of partners and runs work packages that cover best practices, tools, training and community engagement.

EVERSE objectives

• Build a collaborative, community-led structure for evaluating, verifying, and improving the quality of research software and code, by actively involving researchers, software developers, and other stakeholders in the research community.
• Leverage existing tools and resources to support the evaluation, verification and improvement of research software and code quality, based on existing practices and standards across research communities represented by the five EOSC Science Clusters.
• Establish a sustainable and collaborative ecosystem of stakeholders across the research communities associated with the five EOSC Science Clusters to ensure research software and code quality assurance and support the advancement of reliable and reproducible research.
• Provide a framework that will ensure appropriate recognition, reward, and career development for researchers and RSEs who implement research software and code quality assurance practices and policies.

WP3 — Tools and services (lead)

I lead WP3: Tools and services for software quality and FAIRness. WP3 focuses on identifying, evaluating and integrating tools and services that help research communities adopt repeatable, testable and FAIR software practices. Key objectives include:

• Surveying existing tooling for software quality used in research projects and identifying gaps.
• Strengthening these tools to make their integration into pipelines and communities easier.
• Developing a dashboard of indicators for software quality in the Science Clusters.