2026-10-14T01:16:14Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33736213 2026-09-14T12:22:29Z portal_1197 item_type_3 month_year_09_2026

Dataset for Qualitative investigation of data-driven decision making within a control room for disaster monitoring and early-warning in Brazil E. A. Flavio Horita (24861931) João Porto de Albuquerque (24882598) V. Marchezini (24865924) E. M. Mendiondo (24865927) Big data -- Brazil Business planning -- Brazil Emergency management -- Brazil Migrated from ePrints With the emergence of big data and new data sources, a challenge posed to today's organizations consists of identifying how to align their decision-making and organizational processes to data that could help them make better-informed decisions. This paper presents a study in the context of disaster management in Brazil that applies oDMN +, a framework that connects decision-making with data sources through an extended modeling notation and a modeling process. The study results revealed that the framework is an effective approach for improving the understanding of how to leverage big data in the organization's decision-making.<br><br>Due to the ethically sensitive nature of the research and the level of ethical approval which is in place, researchers and institutions who want access the data could make a request directly to the authors via e-mail. J.Porto@warwick.ac.uk or feahorita@gmail.com 2018-03-01T00:00:00Z Dataset Dataset 10.82444/warw.33736213.v1 https://figshare.com/articles/dataset/Dataset_for_Qualitative_investigation_of_data-driven_decision_making_within_a_control_room_for_disaster_monitoring_and_early-warning_in_Brazil/33736213 CC BY 4.0