Information portals are quality-controlled intermediaries, through which consumers can access online information of high relevance and quality. Developing and maintaining a portal’s content repository involves resource identification, selection and description processes undertaken by domain experts. Among these processes, the less standardised, manual quality assessment procedures are highlighted, where new solutions are imperative to solve its scalability and sustainability issues. Results of a qualitative analysis implicate that quality assessment is fundamentally a subjective issue that needs human intervention. For this reason, this research proposes a semi-automated quality assessment approach, in which a user-centred quality framework, an indicator-based quality model and a decision support tool are devised to address the identified domain expert needs for intelligent support. The system development methodology within design science framework is adopted by this research and the tool prototyping within the context of health information portals is underway to evaluate the feasibility and usefulness of the proposed approach.