Registering the descriptive information (metadata) illustrating the circumstances of the observed exercise events (e.g. time, place, etc.), for future evaluation
To collect as much as possible information (metadata) describing the circumstances of the . This approach is in accordance with commonly used the evidence-based methodology, helping to draw more credible conclusions. The excessive registered information may be omitted during analysis, but unregistered information cannot be easily retrieved.
Potential Solutions
If possible, the metadata should be automatically collected during the along with the collection of the observations like. The metadata should provide information when the was made - time stamp, where it was made – geospatial location, how it looked like – a photo or video sequence of the event or fact.
Example: If is divided into stages, and after each stage there is debriefing (hot washups) with all the information collected and stored in central database you can make changes before each stage. Through this process of monitoring, the exercise programme should ensure improvements are identified from the and implemented to ensure the programme achieves established objectives.
Rationale & related CM function(s)
- Sufficient understanding of the crisis/disaster management system evaluated
- Simulation Control
- Key Performance Indicators, utilized to measure the performance of exercise participants
- Procedures or methods to structure and conduct effective exercise evaluation
- Equipment required to measure performance of exercise participants
- Tools and methods to process perceptions in order to generate evaluation insights (e.g. through efficient compilation, analysis, data visualization, etc.)
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Portfolio of Solutions web site has been initially developed in the scope of DRIVER+ project. Today, the service is managed by AIT Austrian Institute of Technology GmbH., for the benefit of the European Management. PoS is endorsed and supported by the Disaster Competence Network Austria (DCNA) as well as by the STAMINA and TeamAware H2020 projects. |