In recent years, the world has seen both massive destruction caused by natural disasters and immense financial and physical support for the victims of these calamities. So that these natural hazards do not become manmade disasters, effective systems are required to identify needs, manage data, and help calibrate responses. If well designed, such systems can help coordinate the influx of aid to ensure the timely and efficient delivery of assistance to those who need it most. Data Against Natural Disasters seeks to provide the analytical tools needed to enhance national capacity for disaster response. The editors and authors begin with an overview that summarizes key lessons learned form the six country case studies in the volume. Next, they outline the data needs that arise at different stages in the disaster response and explore the humanitarian community s efforts to discover more effective response mechanisms. The country case studies review the successes and failures of efforts to establish innovative monitoring systems in the aftermath of disasters in Guatemala, Haiti, Indonesia, Mozambique, Pakistan, and Sri Lanka. Data Against Natural Disasters will be useful to policy makers and others working in port-calamity situations who are seeking to design new monitoring systems or to improve existing ones for disaster response management.