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| Data Successes and Challenges: Examples of Real-World Applications and Problems |
| Session Time | January 9th; 9:00 am to 10:30 am | |||
| Location | Salon E | |||
| Description | This session includes talks on successful applications of NOAA data to real-world use cases, preferably highlighting instances in which good metadata, interoperable data access services, and/or other positive attributes were beneficial. This session also includes examples of problems with NOAA data: instances where datasets could not be easily found, accessed, understood, and/or used. The intent is not to shame the data provider, but rather to point out areas in which further progress is needed and to highlight candidates for possible near-term improvement. | |||
| Chair | Jeff de La Beaujardière | |||
| Presentations and Notes | Click Here! | |||
| Talk | Length (min) | Title | Presenter |
| 5A.1 | 15 | Leveraging Geographic Response Plans in NOAA’s ERMA | Rachel Fox |
| 5A.2 | 15 | Managing the Deepwater Horizon Natural Resource Damage Assessment Environmental Data | Ben Shorr |
| 5A.3 | 15 | Use cases for climate.data.gov | Cathy Smith |
| 5A.4 | 15 | Improving data stewardship through the use of a maturity matrix: a success story | Ge Peng |
| 5A.5 | 15 | OneStop Usability Testing Report | Ken Casey |
| 5A.6 | 15 | Open Discussion | |
| Abstracts | |||
| 5A.1 | Leveraging Geographic Response Plans in NOAA’s ERMA
Rachel Fox (NOS/Office of Response & Restoration (OR&R)) |
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| Geographic Response Plans (GRPs) aid responders in the first 24 to 48 hours of an oil spill response. They identify sensitive environmental and socioeconomic sites as well as the strategies available to protect these sites based on their location and proximity to an incident. GRPs have historically been paper products taken out into the field to assist the Coast Guard, EPA, and state and local responders at the onset of an incident, but they can now be mapped online in a central, collaborative environment that allows for common visualization across multiple state and sector GRPs. The Environmental Response Mapping Application (ERMA) was developed by NOAA’s Office of Response and Restoration (OR&R) to provide a common operational picture for responding to or coordinating emergency response efforts and situational awareness for oil spills and damage assessment efforts. ERMA is an online mapping tool that integrates both static and real-time data in a centralized, easy-to-use format for environmental responders and decision makers. ERMA is a secure environment where data can be discovered, obtained, or downloaded based on a user's need for data and appropriate role in response. | |||
| 5A.2 | Managing the Deepwater Horizon Natural Resource Damage Assessment Environmental Data
Ben Shorr (NOS/Damage Assessment Remediation and Restoration Program) Dr. Amy Merten (ORR) |
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| The Deepwater Horizon DIVER data warehouse and query application was designed and built by the Trustees responsible for assessing damage and implementing restoration in the Deepwater Horizon Natural Resource Damage Assessment (NRDA), and for public access to environmental datasets collected and used for the NRDA and Restoration. The DIVER data warehouse and Explorer query tools were begun during the second year of the five-year effort to support and build the Damage Assessment case that was ultimately settled in March 2016 with a consent decree that includes $8.1 billion in natural resource damages. My talk will focus on the challenges and solutions that our team encountered as we addressed this unprecedented magnitude and complexity of data. This real world experience with legacy data management systems and building new data management systems and interoperability has informed our entire approach to managing environmental data and is a key part of our Offices approach to current and future cases, and data transparency and communication. | |||
| 5A.3 | Use cases for climate.data.gov
Cathy Smith (OAR/ESRL/PSAD) |
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| Scientists and Applied Science researchers at NOAA/ESRL PSD examined the climate.data.gov website to see how it would provide the datasets needed to address a set of climate related questions. Those questions ranged from research specific ones to some similar to what we are asked by the general public. For example, how do SST's over the North Pacific ocean impact drought over the midwest. And, for an applied user, what is the range of wind speeds over a location for use in generating wind energy. We have strong climate/weather expertise in our lab and have experience with datasets that can be used to answer these sorts of questions. The results of our searches indicate opportunities for improvement for the data.gov website. In particular, we feel the need for adding geophysical search parameters that would not necessarily be needed for searching other types of data.gov webpages. | |||
| 5A.4 | Improving data stewardship through the use of a maturity matrix: a success story
Ge Peng (CICS-NC/NCEI/OneStop Project) Christina Lief (NESDIS/NCEI), Steve Ansari (NESDIS/NCEI) |
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| This presentation will use the highly utilized monthly land surface temperature data product derived from the Global Historical Climatology Network (GHCN-M) to demonstrate how a data stewardship maturity matrix (DSMM) can help identify potential areas of improvement in both stewardship practices and system integration. This success story shows how people from multiple disciplines utilized the DSMM to address topics needing improvement by integrating interoperable, high quality metadata with product-specific descriptive information, resulting in enhanced product accessibility and usability. | |||
| 5A.5 | OneStop Usability Testing Report
Ken Casey (NESDIS/OneStop) Nancy Ritchie, David Neufeld, Michael Chapman, John Relph, David Fischman |
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| NOAA OneStop is a pathfinder effort to provide improved public discovery, access, and visualization for all NOAA data. OneStop is a two pronged effort. One is to provide a User Interface that is adept at presenting data with improved relevancy. The second is to improve the quality of the metadata associated with a given data group. Both of these efforts build on each other and require your feedback! Please stop by the OneStop kiosk to explore the beta site and provide your feedback on bugs, enhancements, or new feature requests! Summary of results collected from the kiosk will be presented at the session on Data Successes and Challenges. | |||
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