IN34B:
Scalable Data Management Practices in Earth Sciences I


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Session ID#: 60565

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:  Benjamin James Kingston Evans, Australian National University, Canberra, ACT, Australia, Ian Foster, University of Chicago, Computer Science, Chicago, IL, United States, 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:

Enabling Scalable Integration of Diverse Data (Invited) (436896)
Deb Agarwal1, Charuleka Varadharajan2, Danielle S Christianson1, You-Wei Cheah1, Gilberto Pastorello1, Dr. Housen Chu1, Shreyas Cholia1, Cory Snavely3, Valerie C Hendrix4, Boris Faybishenko1, Roelof Versteeg5 and Robinson I Negron Juarez1, (1)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (2)Lawrence Berkeley National Laboratory, Earth and Environmental Sciences Area, Berkeley, CA, United States, (3)Lawrence Berkeley National Laboratory, NERSC, Berkeley, CA, United States, (4)Lawrence Berkeley National Laboratory, Berkeley, United States, (5)Subsurface Insights, Hanover, NH, United States
Data management services supported by NCAR's Research Data Archive (413617)
Thomas Cram, National Center for Atmospheric Research, Boulder, CO, United States and Douglas Schuster, Nat'l Ctr for Atmospheric Research, CISL/ISD/DECS, Boulder, United States
Accelerating Science with Cloud Technologies in the ABoVE Science Cloud (Invited) (355850)
Elizabeth Embury Hoy1,2, Peter C Griffith3, Daniel Duffy4, Ellen M Salmon2, Laura Carriere5, James Shute6, Julien Peters5 and John H Thompson7, (1)Global Science and Technology Inc Greenbelt, Greenbelt, MD, United States, (2)NASA Goddard Space Flight Center, Greenbelt, United States, (3)NASA/GSFC, Greenbelt, United States, (4)NASA Center for Climate Simulation, Greenbelt, United States, (5)NCCS, NASA Goddard, Greenbelt, MD, United States, (6)CSRA/NASA Goddard Space Flight Center, Greenbelt, MD, United States, (7)NASA Center for Climate Simulation, Greenbelt, MD, United States
Scalable Data Analytics and Visualization with Cloud Optimized Web Services (Invited) (410535)
Sudhir R Shrestha and Steve Kopp, ESRI, Redlands, CA, United States
The Arctic Permafrost Geospatial Center – a portal for high-quality open access scientific data related to permafrost in the Arctic (347244)
Sina Muster1, Sebastian Laboor2, Birgit Heim3, Antonie Haas4, Christian Schaefer-Neth4, Ingmar Nitze5, Annett Bartsch6 and Guido Grosse7, (1)Alfred Wegener Institute Helmholtz-Center for Polar and Marine Research Potsdam, Potsdam, Germany, (2)Alfred Wegener Institute Helmholtz-Center for Polar and Marine Research Potsdam, Permafrost Research, Potsdam, Germany, (3)Alfred Wegener Institute Helmholtz Center for Polar and Marine Research, Polar Terrestrial Environmental Systems, Potsdam, Germany, (4)Alfred Wegener Institute Helmholtz-Center for Polar and Marine Research Bremerhaven, Bremerhaven, Germany, (5)Alfred Wegener Institute Helmholtz Center for Polar and Marine Research, Potsdam, Germany, (6)Zentralanstalt für Meteorologie und Geodynamik, Vienna, Austria, (7)Alfred Wegener Institute Helmholtz Center for Polar and Marine Research, Permafrost Research Section, Potsdam, Germany
Modern Scientific Data Management Practices: ARM Data Center Example (396815)
Giri Prakash1, Ranjeet Devarakonda2, Rob Records2 and Kyle K Dumas3, (1)Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, United States, (2)Oak Ridge National Laboratory, Oak Ridge, TN, United States, (3)Oak Ridge National Laboratory, ESD, Oak Ridge, TN, United States
Network Engineering for High-speed Data Sharing (467681)
Eli Dart, Organization Not Listed, Washington, DC, United States
Automating Physical and Machine Learning Models using Scientific Workflows (421574)
Shahbaz Memon1, Helmut Neukirchen2, Gabriele Cavallaro3 and Morris Riedel3, (1)Jülich Supercomputing Centre, Jülich 52428, Germany, (2)University of Iceland, Reykjavik, Iceland, (3)Jülich Supercomputing Centre, Julich, Germany
Proactive Data Containers (PDC): An Object-centric Data Store for Large-scale Computing Systems (360134)
Suren Byna1, Quincey Koziol2, Venkat Vishwanath3, Jerome Soumagne4, Houjun Tang2, Jingqing Mu4, Bin Dong1, Richard A Warren4, François Tessier5, Teng Wang1 and Jialin Liu1, (1)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (2)Lawrence Berkeley National Laboratory, Berkeley, United States, (3)Argonne National Laboratory, Argonne, IL, United States, (4)The HDF Group, Champaign, IL, United States, (5)Swiss National Supercomputing Center, Lugano, Switzerland
Sciunits: Reusable Research Objects (404729)
Tanu Malik1, Zhihao Yuan1, Bakinam Tarik Essawy2, Anthony M Castronova3, Tian Gan3, David G Tarboton4, Jonathan L Goodall5, Scott Dale Peckham6, Eunseo Choi, PhD7 and Asti Bhatt8, (1)DePaul University, Chicago, IL, United States, (2)University of Virginia, Charlottesville, VA, United States, (3)Utah State University, Logan, UT, United States, (4)Utah State University, Utah Water Research Laboratory, Civil and Environmental Engineering, Logan, UT, United States, (5)University of Virginia, Department of Civil and Environmental Engineering, Charlottesville, VA, United States, (6)University of Colorado Boulder, INSTAAR, Boulder, United States, (7)University of Memphis, Center for Earthquake Research and Information, Memphis, TN, United States, (8)SRI International, Menlo Park, United States

See more of: Earth and Space Science Informatics