Potential for the Use of Large Unstructured Data Resources by Public Innovation Support Institutions

Abstract IntroductionEffective programming of research and development (R&D) support, adjusted to the actual potential of beneficiaries, requires the use of modern analytical tools. Efficient R&D support system requires up-to-date data on technological trends, ongoing (and planning) research, market needs and developing innovationCase descriptionThe article presents the potential of one tool that can be applied in public support institutions. Methods of identifying and diagnosing technology trends are presented.Discussion and Evaluation The use of methods for refining information from unstructured data is one of the most effective methods for identifying and diagnosing areas requiring support from public funds. Public institutions, including public institutions supporting R&D and innovation processes, can apply tools that allow an increase in the quality of offered support programmes, but also beneficial for the excellence of strategic resources management within the institution itself.ConclusionsThe described tools and methods are already directly applicable in many areas related to the support of R&D activity worldwide. The article presents a solution that effectively enables the management of more precise programmes supporting innovative activities.