Result description
This briefing introduces the Minimum Viable Skillsets (MVS) methodology, which defines essential profiles for research data professionals—those involved in creating, collecting, or using research data, often as evidence. Each MVS profile highlights key competencies required to support Open Science and contributes to skills development within Competence Centres.
The document outlines the purpose, scope, and structure of MVS profiles and explains their role in shaping curricula, career paths, and training courses. Developed through a collaborative approach, the MVS framework builds on established competence models and Open Science resources, ensuring alignment with the EOSC skills agenda.
Problem addressed
The Minimum Viable Skillsets (MVS) methodology addresses two key challenges in the research data landscape: the lack of clear definitions for professional data roles and career paths, and the fragmentation of training resources. By providing structured profiles that outline essential skills and competencies, MVS helps establish a shared understanding of key roles supporting Open Science. This approach facilitates the development of coherent training programs, career frameworks, and capacity-building efforts within Competence Centres and across the EOSC ecosystem.
Who can use the result
Comptence Centres, all of EOSC and more generally Open Science (OS) stakeholders.How to use the result
Type of result
