The consequences of a disaster are multifaceted, especially with regard to its adverse effects. It is well known that negative effects are intensified when the disaster is unexpected and response measures are not properly prepared, which can result in inestimable consequences, such as loss of human lives. It is known that negative effects are also multiplied when the catastrophe affects critical infrastructures (CIs) such as transportation, health services and energy, among others, as these are complex systems with their own characteristics. This paper presents the path that is being taken towards a more in-depth solution that enables the collection and storage of awareness data, generated through the interaction between command and control agents (decision makers) combined with awareness elements in the communication, coordination and communication of actions to analyze disaster data involving CIs. The idea is that, by analyzing data from disasters in CIs, it is possible to generate insights that, when maintained, will assist future disasters involving CIs. A framework is presented, developed by analyzing several sources of information, from newspapers to government reports, about the biggest disaster in the history of the Petrópolis city, located in the Rio de Janeiro, Brazil.