Current Research Information Systems (CRIS) are to aggregate data on organizational research projects and their funding, on employers' publications and intellectual property subject matters. The scientometric analysis is based on CRIS data to assess research output and innovative potential of organizations, and to make management solutions. The early loading of quality and reliable information is the most important task for CRIS. The Rospatent open data that allow for automated processing based on free (free of charge) licensing makes the potential source for data on intellectual property subject matters (patent and government registration certificates) for national CRIS. The studies evidence that despite publishing OD in machine-readable formats, their practical application is impeded by incorrect, incomplete and uncoordinated entries. Therefore, before loading. Rospatent OD have to be assessed for quality and to be improved, if possible. As for today, Rospatent OD quality is assessed by several criteria: accessibility, metadata completeness, feedback. However, at the content level, the open data have not been assessed. The purpose of the article is to evaluate the internal quality of Rospatent OD sets including information on inventions, utility models, industrial designs, computer programs, databases, circuit layouts, within the context of OD integration in CRIS systems. The quality is assessed in several characteristics: completeness, accuracy, consistency, expedience, and relevancy. The study has revealed incomplete, inaccurate and uncoordinated entries.
