Open Government on Disaster Information Management in Regional Disaster Management Agency of South Sulawesi

Abstract

This study is aimed to discuss open government in the context of disaster information management in Disaster Management Agency (BPBD) of South Sulawesi. The study employs qualitative method and data was collected by interview, document study and observation. The informants of the study are BPBD and NGO which work in the disaster management sector. The result of the study shows that the principles of open government have been implemented in the disaster information management in BPBD, though not covering all stages of information management. The principle of transparency, participation and collaboration have been visible in the stage of collecting disaster information. In contrast, those initial principles are not visible in the stage of classifying information. In the stage of documenting and information service, these are found to be the principle of collaboration. Generally, BPBD does not maintain information transparency via website like others but focuses more on utilizing more accessible and practical media for users and disaster information sources like radios, flags, and social media. The openness of BPBD in disaster information management is influenced by some factors such as: (1) sources of disaster information are provided by various parties beside government (2) BPBD eagers to collaborate with other agencies. Lastly, disaster management needs a wide variety of specific skills.

Learning from the COVID-19 pandemic in governing smart cities

“…The Open Government projects have demonstrated to become relevant in the context of disaster management although their implementation is both on its early stage [73] and mainly focused on the provision and documentation of information [70]. This way, open government data projects are becoming crucial for successful disaster management in the last years [54] and the COVID-19 pandemic has highlighted the need of collaboration in the creation of pandemic dataset, the need of improving the dataset quality [106] and the freedom to make analysis/innovations on shared datasets [5].…”