[Esip-disasters] ESIP Summer Meeting - Disasters cluster session submitted

Moe, Karen (GSFC-407.0)[EMERITUS] karen.moe at nasa.gov
Mon Apr 30 16:57:37 EDT 2018


Today is the deadline for session submissions. I apologize for not getting this out earlier for comment but I believe we can modify as needed. I submitted this as a Working session, as opposed to a Breakout session, although I expect we will have some presentations. However, listening to our last telecom, I tried to capture the key challenge that kept coming up, and it sounds like a working session! Comments welcome. —Karen

Operational Readiness Levels:  Establishing Trusted Data to Improve Situational Awareness

The Disasters Lifecycle cluster, in collaboration with the All Hazards Consortium, is developing Operational Readiness Levels for data-driven decision-making support to improve situational awareness. The AHC’s Sensitive Information Sharing Environment (SISE) Working Group recently communicated the ORL concept to the AHC members, including federal and state agencies as well as private sector companies supporting a broad range of emergency management services. Initial criteria for the ORLs, a flowchart assessment tool, and data examples were demonstrated. We received enthusiastic feedback on the value of the ORL concept, noting that it filled an important void. Work continues on refining strategies and criteria for assessing candidate datasets for specific operational use cases.

During this session we plan to address several challenges in meeting the trust criteria for establishing ORLs – not only for specific use cases but also across user applications and communities. Questions we expect to explore include:

·      Who can set ORLs; what is ESIP’s role; how to balance data suppliers’ input from end users’ role

·      How to manage ORLs to avoid confusion across user communities

·      How to distinguish global issues that all users would consider criteria (e.g., security, availability, …) vs specific issues related to a specific use case

·      Strategies for handling crowd-sourced information

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