KNOWLEDGE MANAGEMENT AND DATA GOVERNANCE IN CRISIS CONTEXTS

Abstract

Crisis situations and socio-environmental disasters amplify the challenges related to the organization, circulation, and use of information in the public sector, requiring mechanisms capable of integrating knowledge, supporting institutional coordination, and informing real-time decision-making processes. In this context, the present study aims to analyze how information models, systems, and infrastructures are being used to support knowledge sharing, interoperability, and institutional coordination in crisis and disaster scenarios. This abstract constitutes an analytical snapshot of a broader, ongoing academic study conducted through a structured literature review. Searches were performed in national and international databases, initially yielding 616 documents, of which 60 studies were selected for in-depth analysis. This abstract focuses specifically on the analysis of one of the categories identified in the review, comprising 19 studies focused on proposing models, systems, workflows, metamodels, and information infrastructures applied to disaster management. The results highlight a significant shift in the literature, in which disaster management is no longer treated solely as an operational problem but is also understood as an informational, organizational, and socio-technical challenge. A predominance of proposals focused on interoperability, systems integration, knowledge sharing, and real-time decision support was observed. It is concluded that the effectiveness of disaster management depends on the coordination between Knowledge Management, Data Governance, and information infrastructures capable of integrating information, supporting inter-institutional coordination, and strengthening institutional response capabilities.