The issue of assessing R&D projects is a kind of decision-making. This assessment includes multi-criteria indicators related to the organization's mission and purpose, the potential of strategy influence, the possibility of commercial and technical success, and so on. ThereforeIn this article, by combining two data coverage analysis techniques, data envelopment analysis DEA and balanced scorecard (BSC), a broad DEA model is developed, and the obtained model is used to evaluate R&D research and development projects. Efficient projects are identified, and Using the Anderson-Peterson model, efficient projects are ranked. At the end of the article, a brief comparison is made between DEA and DEA-BSC methods. Manuscript profile