  Research data and software are widely accepted as an outcome of scientific
work. However, in comparison to text-based publications, there is not yet an
established process to assess and evaluate quality of research data and
research software publications. This paper presents an attempt to fill this
gap. Initiated by the Working Group Open Science of the Helmholtz Association
the Task Group Helmholtz Quality Indicators for Data and Software Publications
currently develops a quality indicator for research data and research software
publications to be used within the Association. This report summarizes the
vision of the group of what all contributes to such an indicator. The proposed
approach relies on generic well-established concepts for quality criteria, such
as the FAIR Principles and the COBIT Maturity Model. It does - on purpose - not
limit itself to technical implementation possibilities to avoid using an
existing metric for a new purpose. The intention of this paper is to share the
current state for further discussion with all stakeholders, particularly with
other groups also working on similar metrics but also with entities that use
the metrics.
