- TH45J: Is Your Data-Intensive Earth Science Research Tool Kit Open, Efficient, Resilient to Change, and Leading to Real-World Impact? A Discussion with GeoJupyter and Cloud-Native Geospatial Community Members
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NOLA CC
Presenter(s):Generic 'disconnected' Message
Chelle Gentemann, NASA Headquarters
Qiusheng Wu, University of Tennessee, Knoxville
Fernando Perez, University of California Berkeley
Tasha Snow, NASA Goddard Space Flight Center
Tyler Erickson, Google
Sudhir Shrestha, NOAA NESDIS Center for Satellite Applications and Research
Matt Fisher, University of California Berkeley
Primary Convener:
Matt Fisher, University of California Berkeley
Geospatial research is becoming increasingly data intensive due to advances in data collection and modeling as well as reduced costs of storage and processing. Research infrastructure must evolve in order to leverage massive datasets while following the FAIR principles. Open data and open source software, which have developed rapidly in recent years, are key components of the optimal infrastructure. This town hall seeks open discussion on key topics such as: What barriers are preventing researchers from using open data and open source tooling? What can be done to accelerate the transition of Earth science research discoveries into practice? What steps can be taken to make Earth science research more resilient to changes in access to datasets and/or services, whether provided by commercial or government entities? This town hall will include: Presentations from communities working to address these issues, including the Cloud Native Geospatial community (https://cloudnativegeo.org/) and the GeoJupyter community (https://geojupyter.org/). A moderated discussion focusing on audience questions, comments & perspectives. This town hall is for researchers, tool developers, and infrastructure maintainers. The goal of this town hall is to identify barriers and potential next steps needed to develop the next generation of open science research workflows.
Cross-Listed:
IN - Informatics
SY - Science and Society
ED - Education
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