SUBJECT REPRESENTATION IN TECHNOLOGY INNOVATION CENTERS

Abstract

This study presents a diagnosis of the subject representation (TTI) operations structured in the Intellectual Property and Technology Transfer Platform (PITT Platform), developed by the Federal University of Goiás (UFG). From the perspective of Information Science, the research identifies how classification, indexing, and condensation operations are embedded in the platform's design and discusses their potential and limitations for the organization and retrieval of technological information managed by Technology Innovation Nuclei (NITs). The methodology is qualitative and descriptive, using a single case study approach and document research, with the PITT Platform Basic Manual (version 2.0, 2026) as the primary source, a delimitation that restricts the findings to the system's documented prescriptions, without observation of the daily practice of the NIT team or of external users. Results show that TTI is structurally embedded in the platform's three modules, Intellectual Property, Partnerships and Technology Transfer, and Laboratories, manifesting through mandatory keyword fields, classification taxonomies, knowledge areas, and condensation fields. The diagnosis identifies, however, four weaknesses: the absence of a controlled vocabulary, the lack of a formal indexing policy, the absence of qualitative parameters for abstracts, and the lack of retrieval assessment. It is concluded that TTI is the foundation that enables the retrieval, visibility, and transfer of institutional technological knowledge, and that its improvement depends on adopting formal procedures derived from Information Science.