Aydin A.A.2024-08-042024-08-0420179781538618806https://doi.org/10.1109/IDAP.2017.8090230https://hdl.handle.net/11616/922252017 International Artificial Intelligence and Data Processing Symposium, IDAP 2017 -- 16 September 2017 through 17 September 2017 -- 115012In today's digital world, we have been exposed by tremendous amounts of data generated by numerous sources and the developers of data intensive systems are confronted with the challenges of collecting, analyzing and storing large amounts of data. Dealing with those challenges and designing software systems provides demanded set of quality attributes require engaging with sophisticated approaches, developing clever techniques, and carefully making use of cutting edge technologies. In this paper, first, an outline of crisis informatics research and crisis management phases are introduced, next, an overview of quality attributes for data intensive systems is presented, last, a classification of frequently demanded quality attributes for crisis data intensive system is provided by taking into account crisis management phases and the type of data analytics performed. © 2017 IEEE.eninfo:eu-repo/semantics/closedAccessCrisis informaticsData intensive systemsQuality attributesConference Object10.1109/IDAP.2017.80902302-s2.0-85039904241N/A