IN41F:
Scalable Data Management Practices in Earth Sciences Posters


Submit an Abstract to this Session


Session ID#: 53400

Session Description:
The scale of data generated, processed, and used by earth and space science continues to grow. Secure, scalable, and usable data management solutions thus have a critical and direct impact on research productivity and effective scientific exchange. A wide variety of use cases are apparent, ranging from data discovery, tracking data use, and allowing for data reuse to secure sharing amongst collaborators. Various technology solutions address different aspects of these problems, from the perspectives of both data distribution and discovery/access.

We propose this session to learn from practitioners in this space. Participants will share solutions that they have developed, explore best practices that they recommend, and discuss unmet challenges. We invite presenters that provide diverse point of views, from data providers to end-user scientists, as well as data infrastructure providers at various levels: networking, transfer and replication, and data access services.

Primary Convener:  Ian Foster, University of Chicago, Computer Science, Chicago, IL, United States; Argonne National Laboratory, Argonne, United States
Conveners:  Benjamin James Kingston Evans, Australian National University, Canberra, ACT, Australia, Justin Jay Hnilo, U.S. Department of Energy, Biological and Environmental Research, Germantown, United States and Erin Robinson, Foundation for Earth Science Information Partners, Boulder, CO, United States
Primary Liaison:  Ian Foster, University of Chicago, Computer Science, Chicago, IL, United States
Chairs:  Ian Foster, University of Chicago, Computer Science, Chicago, IL, United States, Benjamin James Kingston Evans, Australian National University, Canberra, ACT, Australia, Justin Jay Hnilo, U.S. Department of Energy, Biological and Environmental Research, Germantown, United States and Erin Robinson, Foundation for Earth Science Information Partners, Boulder, CO, United States
OSPA Liaison:  Benjamin James Kingston Evans, Australian National University, Canberra, ACT, Australia

Cross-Listed:
  • A - Atmospheric Sciences
  • GC - Global Environmental Change
  • PA - Public Affairs
  • SI - Societal Impacts and Policy Sciences
Index Terms:

1912 Data management, preservation, rescue [INFORMATICS]
1916 Data and information discovery [INFORMATICS]
1930 Data and information governance [INFORMATICS]
1942 Machine learning [INFORMATICS]

Abstracts Submitted to this Session:

A tale of two clusters: Working with lots of weather radar data bridging research and operations. (434637)
Scott M Collis, Argonne National Laboratory, Lemont, IL, United States, Giri Prakash, Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, United States, Robert Clyde Jackson, Argonne National Laboratory, Argonne, IL, United States, Jitendra Kumar, Oak Ridge National Laboratory, Climate Change Science Institute and Environmental Sciences Division, Oak Ridge, TN, United States, Zachary Sherman, Argonne National Laboratory, Argonne, United States and Bhargavi Krishna, Oak Ridge National Laboratory, Oak Ridge, TN, United States
The Simplified Parallelized InSAR Scientific Computing Environment (SPISCE) (377703)
Paul Alan Rosen1, Howard A Zebker2, Eric Michael Gurrola3, Piyush S Agram3, Michael Aivazis4, Marco Lavalle5, Bryan V Riel6 and Heresh Fattahi1, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (2)Stanford University, Stanford, CA, United States, (3)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (4)Parasim Inc., Pasadena, CA, United States, (5)Jet Propulsion Laboratory, Pasadena, United States, (6)Massachusetts Institute of Technology, School of Earth Sciences, Hangzhou, China
A conceptual framework to support GIS analytics using remote sensing datasets in the cloud (449712)
Suresh Vannan1, Mike Gangl2, James McAuley1, E. Natasha Stavros3, Catalina M Oaida Taglialatela1, Jessica Hausman1, Eric Tauer4, Michelle M Gierach5, Edward M Armstrong6, Cedric H David1 and Lewis John McGibbney7, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (2)NASA Jet Propulsion Laboratory, Pasadena, United States, (3)Cooperative Institute for Research in Environmental Sciences, Boulder, United States, (4)Jet Propulsion Laboratory, Pasadena, CA, United States, (5)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (6)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (7)NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Progress and Possibilities for Data Preservation and Dissemination in the Multi-Sector Dynamics Community (381239)
Casey D. Burleyson1, David Millard2, Chris R Vernon3, Jon Weers4 and Ian Kraucunas1, (1)Pacific Northwest National Laboratory, Richland, WA, United States, (2)Pacific Northwest National Laboratory, Richland, United States, (3)Joint Global Change Research Institute, College Park, United States, (4)National Renewable Energy Laboratory Golden, Strategic Energy Analysis Center, Golden, CO, United States
Parallelized Regional Climate Model Evaluation System to facilitate server-side processing of NASA-NEX data on Amazon Cloud (400122)
Hugo Lee1, Brian D Wilson2, Duane Edward Waliser2 and Alex Goodman3, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (2)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (3)NASA Jet Propulsion Laboratory, Pasadena, United States
Community Data Management Systems for CMIP6 (468813)
Denis Nadeau, Dean Norman Williams, Charles Doutriaux and Tanya J Reshel, Lawrence Livermore National Laboratory, Livermore, CA, United States
Research data management services for Collaborative Research Centers: Experiences from three long-term, interdisciplinary, geoscientific research projects (445179)
Constanze Curdt1, Dirk Hoffmeister2, Tanja Kramm2, Ulrich Lang3 and Georg Bareth2, (1)University of Cologne, Institute of Geography, Regional Computing Centre (RRZK), Cologne, Germany, (2)University of Cologne, Institute of Geography, Cologne, Germany, (3)University of Cologne, Regional Computing Centre (RRZK), Chair of Computer Science, Cologne, Germany
Large-scale and Data-driven Load Balancing Strategies for the THREDDS Data Server (436373)
Antonio S Cofino1,2, Ezequiel Cimadevilla2 and Pablo Celaya Crespo2, (1)Instituto de Física de Cantabria (CSIC-UC), Santander, Spain, (2)Santander Meteorology Group, Department of Applied Mathematics and Computational Sciences, University of Cantabria, Santander, Spain

See more of: Earth and Space Science Informatics