Information knowledge management and data sharing and reuse practices based on the SECI model

Abstract

Objective: To understand how the conceptual foundations of Knowledge Management, in light of the Knowledge Spiral model, contribute to structuring data sharing and reuse practices.
Methodology: This is a basic, exploratory study developed through bibliographic research based on references from Information Science. The aim is to expand discussions on data sharing and reuse practices, using Knowledge Management and the Knowledge Spiral model developed by Nonaka and Takeuchi as the guiding framework.
Results: The Knowledge Spiral provides a theoretical-analytical basis for structuring data sharing and reuse practices, showing that reuse depends not only on access to data, but also on its contextualization, documentation, curation, interoperability, and incorporation into institutional routines. In this process, socialization, externalization, combination, and internalization contribute, respectively, to the initial understanding of the data, its formalization and traceability, its recombination into new informational products, and the consolidation of competencies and practices supported by data literacy.
Conclusions: The study highlighted intersections between Knowledge Management and data sharing and reuse practices. In this context, it emphasizes the need to develop data literacy among professionals in order to strengthen these practices.