IN51C:
Enabling Transparency and Reproducibility in Geoscience Through Practical Provenance and Cloud-Based Workflows Posters


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Session ID#: 57655

Session Description:
Exposing provenance enables researchers to understand computational workflows, and is key for computational reproducibility that builds trust in science. Provenance describes the structure of scientific workflows, data and products, and software.  With provenance, researchers can understand analysis, interpret results, propose alternative analysis, and re-execute workflows. Practical provenance remains challenging. The growth of cloud computing enables new approaches to executing geoscience workflows amenable to provenance.   Generic workflows for geoscience problems have emerged; new advanced scientific workflows that keep pace with evolving software services are needed to ensure the geoscience community can realize efficiency from the dynamic and scalable computing and storage offered by cloud services. This session focuses on enabling provenance and cloud computing. Approaches to provenance capture, editing, and use for reproducible science will be presented along with methods that utilize generic cloud platforms to enable reproducibility, demonstrate scalable science, and harness the dynamic nature of cloud computing.
Primary Convener:  Matthew B. Jones, University of California Santa Barbara, National Center for Ecological Analysis and Synthesis, Santa Barbara, CA, United States
Conveners:  Joshua Hacker, Jupiter, Boulder, CO, United States, Kevin Tyle, SUNY at Albany, Albany, NY, United States and Annie Bryant Burgess, Federation of Earth Science Information Partners, Portland, OR, United States
Primary Liaisons:  Matthew B. Jones, University of California Santa Barbara, National Center for Ecological Analysis and Synthesis, Santa Barbara, CA, United States and Joshua Hacker, Jupiter, Boulder, CO, United States
Chairs:  Matthew B. Jones, University of California Santa Barbara, National Center for Ecological Analysis and Synthesis, Santa Barbara, CA, United States and Joshua Hacker, Jupiter, Boulder, United States
OSPA Liaison:  Joshua Hacker, Jupiter, Boulder, United States
Index Terms:

1908 Cyberinfrastructure [INFORMATICS]
1916 Data and information discovery [INFORMATICS]
1948 Metadata: Provenance [INFORMATICS]
1976 Software tools and services [INFORMATICS]

Abstracts Submitted to this Session:

Using Docker to Ease the Sharing and Running of Code in the PEcAn Project (466125)
Luigi Marini1, Rob Kooper2, Elizabeth (Betsy) Cowdery3, Anthony Gardella3, Alexey N Shiklomanov4, David LeBauer5, Michael Dietze3 and Kenton McHenry1, (1)University of Illinois at Urbana Champaign, National Center for Supercomputing Applications, Urbana, United States, (2)National Center for Super Computing Applications, Urbana, United States, (3)Boston University, Boston, MA, United States, (4)NASA Goddard Space Flight Center, Global Modeling and Assimilation Office, Greenbelt, United States, (5)Energy Biosciences Institute, Urbana, IL, United States
Unidata Science Gateway: A Cloud-based Platform for Enabling Open and Reproducible Science (410117)
Mohan K Ramamurthy, University Corporation for Atmospheric Research, Unidata, Boulder, CO, United States and Julien Chastang, University Corporation for Atmospheric Research, Boulder, CO, United States
NASA Earth eXchange (NEX) App Store (462899)
Jia Zhang, Carnegie Mellon University Silicon Valley, Moffett Field, CA, United States, Seungwon Lee, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, Ramakrishna R Nemani, NASA Ames Research Center, Moffett Field, CA, United States and Tsengdar J Lee, NASA, Washington, United States
Enabling Open-Source, Reproducible Data-Proximate Analysis and Visualization in the Cloud with Cloudstream (449221)
Ward I Fisher, University Corporation for Atmospheric Research, Unidata, Boulder, CO, United States
Operational data provenance and cybersecurity for anticipatory disaster planning (442443)
Christina Bandaragoda, University of Washington, Department of Civil and Environmental Engineering, Seattle, United States, Miguel Leon, University of Pennsylvania, Earth & Environmental Science, Philadelphia, PA, United States, W. Christopher Lenhardt, Renaissance Computing Institute, Chapel Hill, NC, United States, Jimmy Phuong, University of Washington, Biomedical Informatics and Medical Education, Seattle, WA, United States, Jeffery S Horsburgh, Utah State University, Civil and Environmental Engineering, Utah Water Research Laboratory, Logan, UT, United States, Amber Spackman Jones, Utah State University, Civil and Environmental Engineering, Logan, United States and Collaborative RAPID Team Building Infrastructure to Prevent Disasters like Hurricane Maria
Data re-use: Tools for producing and displaying data provenance across DataONE repositories (447156)
Christopher S. Jones1, Yang Cao2, Matthew B. Jones3, Ben Leinfelder1, Bertram Ludaescher4, Paolo Missier5, Dave Vieglais6 and Lauren Walker1, (1)National Center for Ecological Analysis and Synthesis, Santa Barbara, CA, United States, (2)University of Illinois at Urbana Champaign, Urbana, IL, United States, (3)University of California Santa Barbara, National Center for Ecological Analysis and Synthesis, Santa Barbara, CA, United States, (4)Kanagawa, Japan, (5)Newcastle University, Newcastle Upon Tyne, United Kingdom, (6)University of Kansas, Lawrence, KS, United States
Provenance Metadata Evaluation for Climate Assessments: Quantitative Metrics in the Global Change Information System (373597)
Reid Alan Sherman1, Kathryn Tipton2 and Amrutha Riley2, (1)US Global Change Research Program, Washington D.C., United States, (2)US Global Change Research Program, Washington D.C., DC, United States
Provenance as a Service: Challenges and Potential Next Steps (445709)
Tom Narock, Goucher College, Center for Data, Mathematical, and Computational Sciences, Baltimore, MD, United States and Douglas Fils, Consortium for Ocean Leadership, Washington, United States
What is the provenance of my marine data? The linking of standards, technologies and concepts within the marine domain to form an unambiguous data provenance trace. (419103)
Justin James Henry Buck, National Oceanography Centre, Liverpool, United Kingdom, Jay Pearlman, University of Colorado at Boulder, Boulder, CO, United States, Alexandra Kokkinaki, National Oceanography Centre, BODC, Liverpool, United Kingdom, Simon Jirka, 52North, Munich, Germany, Markus Stocker, Larkspur, CA, United States and Louise Darroch Dr, British Oceanographic Data Center, Liverpool, United Kingdom
Does data citation aid provenance? (419156)
Matthew S. Mayernik, National Center for Atmospheric Research, Boulder, CO, United States, Mark A Parsons, Rensselaer Polytechnic Institute, Tetherless World Constellation, Troy, United States, Ruth Duerr, Ronin Institute for Independent Scholarship, Westminster, CO, United States, Nancy J Hoebelheinrich, Knowledge Motifs LLC, San Mateo, CA, United States and Hampapuram Ramapriyan, NASA Goddard Space Flight Cent, Greenbelt, United States
Recording Provenance with PREMIS: a Biomolecular Nuclear Magnetic Resonance Spectroscopy Use Case (433543)
Michael Gryk, University of Illinois at Urbana Champaign, Urbana, IL, United States

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