Session Agenda: Invited Presentations (1 hour) (
see abstracts below)
1. “Making Data Decision Ready” by David Green, Program Manager of the NASA Disaster Applications program
2. “Creating Trust in Earth Observation Data” by Jasmine Muir, FrontiersSI, Australia
3. “Evolving Operational Readiness Levels within ESIP’s Disaster Lifecycle Cluster” by Dave Jones/Karen Moe, ESIP Disasters Lifecycle Cluster
4. “ESIP Information Quality Cluster Overview and Recent Efforts” by Yaxing Wei et al., ESIP Information Quality Cluster
Panel Discussion (30 mins)
Session Description:
The ESIP Information Quality Cluster (IQC) has been collaborating across ESIP clusters and beyond ESIP with national and international domain experts on a number of fronts toward establishing a baseline of standards and best practices for Earth science data quality. These efforts include 1) exposition of the state-of-the-art practices and establishing recommendations to further promote the quantification, characterization, communication, and use of uncertainty information for broad classes of Earth science data, including on-orbit, airborne, field, and assimilated/modeled data; 2) developing community guidelines for consistently curating and representing dataset-level quality information; and 3) identifying challenges and potential approaches for improving citizen science data quality. The development of uncertainty recommendations and quality information guidelines is driven by community needs and the expected outcomes would have a high impact on the community. For example, the IQC is partnering with the ESIP Disasters Lifecycles Cluster (DLC) to mature a framework for determining the Operational Readiness Levels (ORLs) for data products driving disaster management decision-making. In this session, we will share updates with the ESIP community on the current status of those efforts and further strengthen the collaboration between the IQC and other clusters of ESIP to demonstrate the implications of recommendations and guidelines being developed by the IQC.
View Notes
Presentations Abstract:
1. Making Data Decision Ready (David Green)
It is true that data drives decisions, but not just any data. The NASA Disasters program embraces moving toward improvements in capturing, representing, and enabling data quality for risk reduction. Relevant and diverse data types must be discoverable sooner, more useful in complex scenarios, and used by a wider range of actors. These aims have motivated improvements to lower latency for faster dissemination of warnings and forecasts as well as higher resolution to increase local awareness but have not addressed analysis and decision readiness. From a Disasters program perspective, accurate, precise, and fit-for-use hazard data is still not sufficient since disaster “risk” is the consequence of vulnerability, exposure, and coping capacity. The NASA Disasters program utilizes an earth systems perspective and a user-centric approach, which advocates for data interoperability and open geospatial standards to facilitate integration and analysis readiness. Similarly, there have been tremendous improvements in geospatial information systems and frontier technologies, including collaborative tools for sharing, cloud processing, artificial intelligence, visualization, and natural language. We are moving closer to having a portfolio of data capabilities and attributes that make data decision ready, but the issues of representing quality must also mirror the shift we have experienced in supporting the Sendai Framework for Disaster Risk Reduction, specifically data quality for improved understanding of systemic risk and risk management. Metrics of data quality must inform the choices people make throughout the disaster management cycle, the situational awareness support needed during response, and the confidence in guidance as actions evolve. Certainly, within an environmental and socio-economic context the Disasters Program is starting to see the feasibility of quality in decision ready data. Knowing the data quality can also incentivize and support collaborative decision making with the increasing variety and velocity of data needed to meet measureable thresholds for guiding smarter and more resilient actions.
2. Creating Trust in Earth Observation Data (Jasmine Muir)
The presentation will provide an introduction to the Australian and New Zealand Data Quality Interest Group and their work on community standards for FAIR and Quality data. The standards will be demonstrated through a use case on creating trust in satellite Earth observation data and derived products.
