NEW TERMS IN THE INDEXING POLICIES OF UNIVERSITY LIBRARIES

Authors

Keywords:

knowledge representation, indexing policies, controlled vocabulary, terminology management, new terms

Abstract

This study aimed to identify how university library indexing policies address the treatment of new terms, considering the procedures prescribed and the organization of the guidelines in the documents. In the context of the university libraries analyzed, a new term is defined as one that is needed for indexing but is not represented in the institutional vocabulary or in any of the external sources consulted. A qualitative, exploratory, documentary, and bibliographic study was conducted through the analysis of eleven policies available through open access. The results reveal three levels of explicitness: four policies formalize procedures for proposing, analyzing, and including new terms, with defined instruments and responsible parties; six provide partial guidelines that are not organized into a complete workflow; and one provides no specific guidelines. Different designations and ways of organizing the guidelines were also identified. The treatment of new terms is therefore heterogeneous, reflecting different terminology management strategies. As a contribution, the study systematizes elements involved in the treatment of new terms that can support the development and revision of indexing policies and terminology management practices in university libraries.

Author Biographies

  • Lucimar de Oliveira, Federal University of Paraná

    Master's student in Information Management at the Federal University of Paraná (PPGGI/UFPR), in the research line Information and Technology, focusing on organization and representation of knowledge. Graduated in Librarianship from the State University of Londrina (2001) and MBA in Human Resources Management from UNINTER (2014).

  • Luciano Heitor Gallegos Marin, Federal University of Paraná

    Adjunct Professor at the Federal University of Paraná, assigned to the Department of Information Science and Management. He holds a degree in Data Processing Technology and in Systems Analysis (USJT), a Master's in Science (ITA), a Doctorate in Engineering (Université de Rennes I, RENNES 1, France), and a Post-Doctorate (University of Southern California, USC, United States).

Published

2026-11-13

Conference Proceedings Volume

Section

GT 2 – Organização e Representação do Conhecimento

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