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Traditional evaluation systems that focus heavily on publications and publication-based
metrics have proven insufficient to fully capture the diversity of research outputs. To
overcome this a Task Group of the Working Group Open Science of the Helmholtz Association,
with representatives from its 18 research centers, has developed multidimensional quality
indicators for research data and software publications, which are based on the FAIRPrinciples and supported by a maturity model. Through the Helmholtz Quality Indicators, the
Helmholtz Association aims to incentivise improving the reproducibility and impact of
individual publications, whilst at the same time providing recognition to by including them as
key performance indicators (KPIs) in annual institutional reporting. Analogous to peer review
of text publications, the assessment of scientific research quality of the data and code itself
remains to be carried out by academic experts; this process is not subject of the indicators
presented here. This publication describes the development of the Helmholtz quality
indicators, their quality dimensions and attributes, and current pathways toward
automatisation and institutional implementation.