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For over 20 years, ESIP meetings have brought together the most innovative thinkers and leaders around Earth observation data, thus forming a community dedicated to making Earth observations more discoverable, accessible and useful to researchers, practitioners, policymakers, and the public. The theme of this year’s meeting is Leading Innovation in Earth Science Data Frontiers.
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Thursday, July 22 • 6:00pm - 7:30pm
Toward Improving Representation of Data Quality Information

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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.

Organizers & Speakers
avatar for Robert R. Downs

Robert R. Downs

Senior Digital Archivist, Columbia University
Dr. Robert R. Downs serves as the senior digital archivist and acting head of cyberinfrastructure and informatics research and development at CIESIN, the Center for International Earth Science Information Network, a research and data center of the Earth Institute of Columbia University... Read More →
avatar for Dave Jones

Dave Jones

StormCenter Communications, StormCenter Communications
Real-time data access, sharing and collaboration across multiple platforms. Collaborative Common Operating Pictures, Decision Making, Situational Awareness, connecting disparate mapping systems to share data, cross-product data sharing and collaboration. SBIR Phase III status with... Read More →
avatar for Karen Moe

Karen Moe

NASA Goddard Emeritus
ESIP Disasters Lifecycle cluster co-chair with Dave Jones/StormCenter IncManaging an air quality monitoring project for my town just outside of Washington DC and looking for free software!! Enjoying citizen science roles in environmental monitoring and sustainable practices in my... Read More →
avatar for David Moroni

David Moroni

Data Stewardship and User Services Team Lead, Jet Propulsion Laboratory, Physical Oceanography Distributed Active Archive Center
I am a Senior Science Data Systems Engineer at the Jet Propulsion Laboratory and Data Stewardship and User Services Team Lead for the PO.DAAC Project, which provides users with data stewardship services including discovery, access, sub-setting, visualization, extraction, documentation... Read More →
avatar for Ge Peng

Ge Peng

Research Scholar, CISESS/NCEI
Dataset-centric scientific data stewardship, data quality management
avatar for H. K. “Rama” Ramapriyan

H. K. “Rama” Ramapriyan

Research Scientist, Subject Matter Expert, Science Systems and Applications, Inc.


Thursday July 22, 2021 6:00pm - 7:30pm EDT
TBA