IN53A:
Enabling Transparency and Reproducibility in Geoscience Through Practical Provenance and Cloud-Based Workflows I
Submit an Abstract to this Session
Session ID#: 60547
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 of provenance 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, 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, 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
Abstracts Submitted to this Session:
Aaron M. Ellison1, Emery Boose2, Orenna Brand3, Elizabeth Fong4, Matthew K Lau2, Barbara S Lerner4, Thomas Pasquier5, Joseph Wonsil6 and Margo I Seltzer7, (1)Harvard University, Harvard Forest, Cambridge, MA, United States, (2)Harvard University, Harvard Forest, Petersham, MA, United States, (3)Columbia University, New York, United States, (4)Mount Holyoke College, South Hadley, United States, (5)University of Cambridge, Cambridge, United Kingdom, (6)Carthage College, Kenosha, United States, (7)Harvard University, Cambridge, United States
Bryce Mecum1, Sebastian Wyngaard2, Craig Willis3, Matthew Turk4, Thomas Thelen5, Ian Taylor2, Victoria Stodden4, Damian Perez2, Jaroslaw Nabrzyski6, Bertram Ludaescher7, Sivakumar Kulasekaran8, Kacper Kowalik9, Matthew B. Jones10, Mihael Hategan11, Niall Gaffney12, Kyle Chard13 and Adam Brinckman2, (1)National Center for Ecological Analysis and Synthesis, Santa Barbara, CA, United States, (2)University of Notre Dame, Notre Dame, United States, (3)National Center for Supercomputing Applications, Urbana, IL, United States, (4)University of Illinois at Urbana Champaign, Urbana, IL, United States, (5)National Center for Ecological Analysis and Synthesis, Santa Barbara, United States, (6)University of Notre Dame, Notre Dame, IN, United States, (7)Kanagawa, Japan, (8)University of Texas at Austin, Austin, United States, (9)University of Illinois at Urbana Champaign, Urbana, United States, (10)University of California Santa Barbara, National Center for Ecological Analysis and Synthesis, Santa Barbara, CA, United States, (11)University of Chicago, Chicago, United States, (12)University of Texas at Austin, Austin, TX, United States, (13)University of Chicago, Chicago, IL, United States
Joseph Hamman, CarbonPlan, Seattle, United States, Ryan Abernathey, Lamont -Doherty Earth Observatory, Palisades, NY, United States, Chris Holdgraf, University of California, Berkeley, Berkeley Institute for Data Science, Berkeley, United States, Yuvi Panda, University of California, Berkeley, Division of Computing, Data Science and Society, Berkeley, United States and Matthew Rocklin, Anaconda, Inc., Austin, TX, United States
Ivo Jimenez and Carlos Maltzahn, University of California Santa Cruz, Santa Cruz, CA, United States
Michelle Harrold1, Jamie Wolff2, Kathryn Fossell3, Michael Kavulich Jr4 and John Halley-Gotway2, (1)NCAR, RAL, Boulder, United States, (2)National Center for Atmospheric Research, Developmental Testbed Center, Boulder, CO, United States, (3)NCAR/MMM, Boulder, CO, United States, (4)Developmental Testbed Center (DTC), Boulder, United States
Adam Shepherd1, Shannon Rauch2, Conrad Schloer3, Danie Kinkade4, Hannah Ake1, Mathew Biddle1, Nancy J Copley5, Mak A Saito6, Peter H Wiebe1 and Amber York1, (1)Woods Hole Oceanographic Institution, Woods Hole, MA, United States, (2)WHOI, Woods Hole, United States, (3)Woods Hole Oceanographic Institution, Woods Hole, United States, (4)Woods Hole Oceanographic Inst, Woods Hole, United States, (5)Woods Hole Oceanographic Inst, Woods Hole, MA, United States, (6)Woods Hole Oceanographic Institution, Marine Chemistry and Geochemistry, Woods Hole, MA, United States
Aji John1, Amanda Tan2, Andreas Hellander3 and Kristiina Ausmees3, (1)University of Washington Seattle Campus, Seattle, United States, (2)University of Washington, Seattle, WA, United States, (3)Uppsala University, Department of Information Technology, Uppsala, Sweden
Neil Davies1, John Deck1, Karthik Ram2, Ramona Walls3 and Rich Williams4, (1)University of California Berkeley, Berkeley, CA, United States, (2)University of California Berkley, Department of Environmental Science, Policy, and Management, Berkeley, CA, United States, (3)CyVerse, BIO5 Institute, Tucson, AZ, United States, (4)Rakuten Intelligence, Santa Cruz, United States
