IN13D:
Approaches for Curation to Data Discovery in the Era of Big Data Variety II

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Session ID#: 33616

Session Description:
Data are critical to our understanding of Earth as a system. As Earth science data continue to grow in volume and variety, discoverability is becoming both more important and more challenging. Solving the discoverability problem begins with an “inside-out” approach: curating metadata to ensure completeness, correctness and consistency with a view toward helping the user discovery interfaces. The solution space also includes “outside-in” approaches, in which alternative pathways are used to enable discoverability. This session will look at both inside-out and outside-in ways to improve discovery. Inside-out ways include metadata curation tools, controlled vocabularies and ontologies, and collaborative metadata creation. Outside-in ways may include paths that start with the physical phenomena in question; from science research articles about the data; from narratives featuring the data; from data visualizations; and even from social media.
Primary Convener:  Kaylin Bugbee, NASA Marshall Space Flight Center, Huntsville, AL, United States
Conveners:  Lewis John McGibbney, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, Thomas O Dabolt, Department of the Interior Washington DC, Washington, DC, United States and David Neufeld, CIRES, National Centers for Environmental Information (NCEI), Boulder, CO, United States
Chairs:  Kaylin Bugbee, University of Alabama in Huntsville, Huntsville, AL, United States and Lewis John McGibbney, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
OSPA Liaison:  Kaylin Bugbee, University of Alabama in Huntsville, Huntsville, AL, United States
Index Terms:

1916 Data and information discovery [INFORMATICS]
1946 Metadata [INFORMATICS]
1950 Metadata: Quality [INFORMATICS]

Abstracts Submitted to this Session:

Do It Yourself (DIY) Earth Science Collaboratories Using Best Practices and Breakthrough Technologies (Invited) (293893)
Eric Stephan, Pacific Northwest National Laboratory, Richland, WA, UNITED STATES
Simplifying the Reuse and Interoperability of Geoscience Data Sets and Models with Semantic Metadata that is Human-Readable and Machine-actionable (Invited) (284551)
Scott Dale Peckham, University of Colorado Boulder, INSTAAR, Boulder, United States
The NOAA OneStop System: From Well-Curated Metadata to Data Discovery (263233)
Evan McQuinn1,2, Arianna Jakositz1,2, Aaron Caldwell2,3, Zeb Delk1,2, David Neufeld1,2, Jason Shapiro2,4, Robert Partee2,5 and Anna Milan6, (1)Cooperative Institute for Research in Environmental Sciences, Boulder, CO, United States, (2)National Centers for Environmental Information, Boulder, CO, United States, (3)NOAA National Ocean Service, Silver Spring, MD, United States, (4)Earth Resources Technology Inc., Silver Spring, MD, United States, (5)Earth Resources Technology Inc., Boulder, CO, United States, (6)World Meteorological Organization, Geneva, Switzerland
Improving Access to NASA Earth Science Data through Collaborative Metadata Curation (218561)
Adam W. Sisco, University of Alabama in Huntsville, Huntsville, AL, United States, Kaylin Bugbee, NASA Marshall Space Flight Center, Huntsville, AL, United States, Dana Shum, Raytheon Company Riverdale, Riverdale, MD, United States, Katie Baynes, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Valerie Dixon, NASA Goddard Space Flight Center, ESDIS, Greenbelt, MD, United States and Rahul Ramachandran, NASA Marshall Space Flight Center, Huntsville, United States
Building a better search engine for earth science data (266141)
Edward M Armstrong1, Chaowei Phil Yang2, David F Moroni3, Lewis John McGibbney1, Yongyao Jiang4, Thomas Huang1, Frank R Greguska III1, Yun Li4 and Christopher J Finch1, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)George Mason Univ., Fairfax, United States, (3)NASA Jet Propulsion Laboratory, Pasadena, United States, (4)George Mason University Fairfax, Fairfax, VA, United States
Oceanids command and control (C2) data system – Marine autonomous systems data for vehicle piloting, scientific data users, operational data assimilation, and big data (270497)
Justin James Henry Buck1, Alexander Phillips2, Alvaro Lorenzo2, Alexandra Kokkinaki3, Malcolm Hearn3, Thomas Gardner3, Kay Thorne3 and Oceanids command and control system development team, (1)National Oceanography Centre, Liverpool, United Kingdom, (2)National Oceanography Center, Soton, MARS, Southampton, United Kingdom, (3)National Oceanography Center, BODC, Liverpool, United Kingdom

See more of: Earth and Space Science Informatics