15–17 Sept 2025
CERN
Europe/Zurich timezone

Shaping the future of Research Software Quality: The EVERSE Network

-172
Not scheduled
1h 30m
80/1-001 - Globe of Science and Innovation - 1st Floor (CERN)

80/1-001 - Globe of Science and Innovation - 1st Floor

CERN

60
Show room on map
Poster Open Science for All: Skills & Community Poster & Demos Sessions

Description

EVERSE is a project in the scope of the European Open Science Cloud (EOSC) which focuses on elevating the recognition and acknowledgement of research software engineering.
The consortium brings together expertise from diverse scientific fields that use programming for their research, across the EOSC Science Clusters: astronomy and particle physics, photon and neutron science, environmental sciences, social sciences and humanities, and life sciences.
A central initiative is the development of the Network for Research Software Quality, which unites key stakeholders including research software engineers, researchers, policy makers, students, and industry partners. This Network facilitates knowledge exchange, best practices sharing, and collaborative problem-solving in research software development.
EVERSE connects professionals in the Network and researchers across the EOSC Science Clusters to provide a comprehensive collection of best practices, tools, and services for Research Software Quality (RSQ), co-creating a RSQkit toolbox for practical solutions for common challenges in research software quality, making FAIR principles actionable in everyday research software development.
This poster presents the Network's structure, early achievements, and future roadmap, highlighting how EVERSE is fostering a culture of quality in research software development across European research institutions.

Tagline

EVERSE aims at increasing the visibility and acknowledgement of research software engineering. With the EVERSE Network the project wants to connects RSE professionals across all fields in a virtual space where they share and exchange expertise on Research Software Quality

Keywords research software quality, recognition, training, toolkit

Authors

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