This study evaluates the level of methodological transparency and potential reproducibility in patent-based technological prospecting dissertations developed within the Professional Graduate Program in Intellectual Property and Technology Transfer for Innovation (PROFNIT). A Systematic Literature Review (SLR) was conducted following the PRISMA 2020 guidelines, resulting in the analysis of 23 dissertations defended between 2016 and 2026. The study applied an adapted methodological compliance checklist based on international standards for patent landscape studies. The results revealed high levels of conformity regarding the definition of databases, search strategies, analytical methods, and presentation of quantitative findings. The dissertations demonstrated strong alignment with internationally recognized practices in technological intelligence and patent analysis, particularly through the use of IPC and CPC classifications. However, important weaknesses were identified concerning dataset sharing, documentation transparency, and discussion of methodological limitations. Only a minority of the studies provided complete access to the analyzed patent corpus, limiting auditability and reproducibility. The findings indicate that PROFNIT has achieved significant operational maturity in technological prospecting studies, although challenges remain regarding open science practices and methodological standardization. The study contributes to discussions on transparency, scientific reliability, and quality standards in patent landscape research.
