This paper presents the Performance Assessment Model (PAM), designed to refine assessment practices for the impact of scientific projects and make them easier to understand with the help of information visualisation tools (InfoVis). The model incorporates three main dimensions: input, output, and impact, to capture the breadth of scientific contributions. Using PAM, a holistic analysis of project results and impacts can be conducted, integrating qualitative and quantitative data. The project team tested the model on ten research projects, which allowed for its adaptation to different project types and ensured a comprehensive assessment of tangible and intangible impact. Data organised with PAM was transferred to Power BI, a software that allows for interactive visualisation and detailed data analysis. The model’s adaptability and flexibility make it valuable for assessing how effectively scientific projects create positive, enduring impacts on society. The study results indicate that PAM provides a systematic approach to evaluating and enhancing the performance of scientific projects. It is particularly beneficial for research centre managers needing an effective tool to measure their projects’ impacts. PAM also promotes transparency and accountability in the evaluation process. Ultimately, it can ensure scientific projects are carried out effectively and efficiently, maximising societal benefits.
