Operational data provenance and cybersecurity for anticipatory disaster planning
Abstract
Technological advances have enabled massive quantities of data collection for studying earth system changes and hydrologic natural disasters (i.e., hurricane, flood, drought). These data sets still need to be leveraged at the community-scale to improve existing disaster response with anticipatory planning, which demands fundamentally new ways of storing, accessing and processing hydrologic data and community interaction with the information for resource management. Operational cyberinfrastructure that maintains data provenance and cybersecurity of historic data and real-time input-output, is needed in disaster-driven extreme event research ( hydrologic science, environmental, and related population health research). This requires a mode of knowledge transfer that extends beyond the scope of most domain-specific science programs and advances data ownership, security, privacy, and accessibility of shared public resources, privacy protection, and controlled distribution of information. Our project uses a data sharing agreement to communicate requirements and methods for publishing research with data provenance and persistent identifiers. This approach provides project continuity between multiple hack events and research projects in order to bridge water quality, climate, land cover, resource availability and population health researcher needs related to community resilience to natural hazards. The case study is a synthesis project archiving and distributing research products in usable formats needed by vulnerable communities to build their own capacity to prevent disaster. Transparency is supported with discoverable metadata design which is shown to lead to reproducible experiments in field data collection and process modeling. We demonstrate the usability of open-source cyberinfrastructure for water research (HydroShare) and human-centered design with community water system operators and owners of private water data based on Rapid Response Research in the U.S. Territory of Puerto Rico after Hurricane Maria (2017).
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2018
- Bibcode:
- 2018AGUFMIN51C0594B
- Keywords:
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- 1908 Cyberinfrastructure;
- INFORMATICSDE: 1916 Data and information discovery;
- INFORMATICSDE: 1948 Metadata: Provenance;
- INFORMATICSDE: 1976 Software tools and services;
- INFORMATICS