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Building research software infrastructure to prevent disasters like Hurricane Maria - Natural Hazards Workshop Researchers Meeting 2018

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Created: Jul 12, 2018 at 9:52 p.m.
Last updated: Dec 03, 2018 at 7:08 p.m.
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After every natural disaster, it is difficult to answer elementary questions on how to provide high quality water supplies and health services. There is no existing digital infrastructure to scientifically determine the hurricane impact on drinking water quality, the severity of a hazard to human health, or baseline data on the sophistication, connectivity, and operations of the distributed physical and related digital infrastructure systems. We test data publication mechanisms after Hurricane Maria in Puerto Rico to understand risks to human health by assessing the spatial and temporal presence of waterborne pathogens in multiple types of systems, demonstrating usability of the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) HydroShare system as a clearinghouse for data related to Hurricanes Maria, Harvey, and Irma, and developing a prototype cyberinfrastructure to assess environmental and public health impacts. Our resulting archive and research software engineering practices provide a prototype cyberinfrastructure system for researchers to study natural disasters.

Recovery efforts from natural disasters can be more efficient with data-driven information on current needs and future risks. We advance open-source software infrastructure to support scientific investigation and data-driven decision making with a data sharing system using a water quality assessment developed to investigate post-Hurricane Maria drinking water contamination in Puerto Rico. One limitation to effective disaster response is easy and rapid access to diverse information about available resources and maps of community resource needs and risks. Research products are made Findable, Accessible, Interoperable, and Reproducible (FAIR) using HydroShare, a collaborative online sharing platform. Curating a central repository of assembled research data has the potential to greatly facilitate coordinated disaster responses of all types, with opportunities to improve planning, preparedness, and monitoring of the recovery process.

Almost Like Maria Team Members: Christina Bandaragoda, University of Washington  Miguel Leon, University of Pennsylvania  Jim Phuong, University of Washington  Graciela Ramirez-Toro, Inter American University of Puerto Rico  Kelsey Pieper, Virginia Tech  William Rhoads, Virginia Tech  Tim Ferguson-Sauder, Olin College  Jeffery Horsburgh, Utah State University  Jerad Bales, Consortium of Universities for the Advancement of Hydrological Science  Sean Mooney, University of Washington  Martin Seul, Consortium of Universities for the Advancement of Hydrological Science  Kari Stephens, University of Washington  Erkan Istanbulluoglu, University of Washington  Julia Hart, University of Washington  Marc Edwards, Virginia Tech  Amy Pruden, Virginia Tech  Virginia Riquelme, Virginia Tech  Ishi Keenum, Virginia Tech  Ben Davis, Virginia Tech  Emily Lipscomb, Virginia Tech  David Tarboton, Utah State University  Amber Spackman Jones, Utah State University  Eric Hutton, Cooperative Institute for Research in Environmental Sciences  Gregory Tucker, University of Colorado Boulder  Scott Peckham, University of Colorado Boulder  Christopher Lenhardt, Renaissance Computing Institute  William McDowell, University of New Hampshire  David Arctur, University of Texas at Austin

Subject Keywords



Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Puerto Rico
North Latitude
East Longitude
South Latitude
West Longitude



Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Science Foundation Building Infrastructure to Prevent Disasters like Hurricane Maria 1810886

How to Cite

Bandaragoda, C., Almost Like Maria Research Team (2018). Building research software infrastructure to prevent disasters like Hurricane Maria - Natural Hazards Workshop Researchers Meeting 2018, HydroShare,

This resource is shared under the Creative Commons Attribution CC BY.


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