IN33D:
Quality Control and Provenance of Scientific Data: Data Producers and Consumer Perspectives II

Submit an Abstract to this Session



Session ID#: 33692

Session Description:
Model Development, data analysis and end-user applications of scientific data are becoming increasingly popular and challenging. Although they may operate differently, they still share an important challenge: understanding the quality of the data being used. Thus, credibility becomes an important prerequisite for all stages of the data lifecycle, from observations used by models, to outputs generated by models, and finally the consumer applications that use the data. When integrating data from many sources, it is paramount that the Data Provenance is well understood, and this is a challenge faced across all data communities. From the use of metadata database engines to visualization techniques, researchers continue to look for techniques to best certify and document their data. The Jupyter notebook is one such example, but many others exist.


In this session, we invite presentations on value-added approaches to quality controlling scientific data effectively. Open-source technologies are particularly welcome.

Primary Convener:  Aparna Radhakrishnan, Geophysical Fluid Dynamics Laboratory, Princeton, United States; Engility, Chantilly, VA, United States
Conveners:  Eugene F Burger, NOAA Pacific Marine Environmental Laboratory, Seattle, WA, United States, Kevin O'Brien, University of Washington Seattle Campus, JISAO, Seattle, WA, United States; University of Washington/CICOES, NOAA/PMEL, Seattle, WA, United States and Mark Bushnell, CoastalObsTechServices, Virginia Beach, VA, United States
Chairs:  Mark Bushnell, CoastalObsTechServices, Virginia Beach, VA, United States and Aparna Radhakrishnan, Engility, Chantilly, VA, United States
OSPA Liaison:  Eugene F Burger, NOAA Pacific Marine Environmental Laboratory, Seattle, United States

Cross-Listed:
  • A - Atmospheric Sciences
  • OS - Ocean Sciences
Index Terms:

1948 Metadata: Provenance [INFORMATICS]
1950 Metadata: Quality [INFORMATICS]
1994 Visualization and portrayal [INFORMATICS]
4260 Ocean data assimilation and reanalysis [OCEANOGRAPHY: GENERAL]

Abstracts Submitted to this Session:

Data Quality Assurance and Provenance Tracking in ICOADS Release 3.0 (Invited) (213460)
Thomas Cram1, Steven J Worley2, Zaihua Ji2 and Douglas Schuster3, (1)National Center for Atmospheric Research, Boulder, CO, United States, (2)NCAR, Boulder, CO, United States, (3)NSF National Center for Atmospheric Research, Boulder, United States
Reflecting on the challenges of building a rich interconnected metadata database to describe the experiments of phase six of the coupled climate model intercomparison project (CMIP6) for the Earth System Documentation Project (ES-DOC) and anticipating the opportunities that tooling and services based on rich metadata can provide. (293704)
Charlotte Pascoe, National Centre for Atmospheric Science, Leeds, United Kingdom
Automated Generation of Technical Documentation and Provenance for Reproducible Research (296852)
Ben Jolly1, David Medyckyj-Scott2, Raphael Spiekermann2 and Anne-Gaelle Ausseil3, (1)Landcare Research NZ, Lincoln, New Zealand, (2)Landcare Research NZ, Palmerston North, New Zealand, (3)Landcare Research NZ, Wellington, New Zealand
Quality Controlling CMIP datasets at GFDL (282021)
Aparna Radhakrishnan1,2, Larry Wayne Horowitz3, V. Balaji4, Alistair Adcroft5, John P Krasting1, Serguei Nikonov6, Erik E Mason7, Roland Schweitzer8 and Denis Nadeau9, (1)Geophysical Fluid Dynamics Laboratory, Princeton, United States, (2)Engility, Chantilly, VA, United States, (3)NOAA Geophysical Fluid Dynamics Laboratory, Princeton, United States, (4)NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States, (5)Program for Atmospheric and Oceanic Sciences, Princeton University, Princeton, United States, (6)GFDL Princeton University, Princeton, NJ, United States, (7)Engility, Science and Technology, Chantilly, VA, United States, (8)NOAA Pacific Marine Environmental Laboratory, Seattle, United States, (9)Climate Model Data Service, NASA Goddard Space Flight Center, Greenbelt, MD, United States
An International Coordinated Effort to Further the Documentation & Development of Quality Assurance, Quality Control, and Best Practices for Oceanographic Observations (245985)
Mark Bushnell, CoastalObsTechServices, Virginia Beach, VA, United States, Hans Christoph Waldmann, MARUM - University of Bremen, Bremen, Germany, Juliet Hermes, South African Environmental Observation Network, Cape Town, South Africa and Mario Tamburri, University of Maryland (UMCES CBL), Solomons, MD, United States
The Early Development and Evolution of the QARTOD for In-Situ Wave Measurements (207233)
Richard H Bouchard1, Julianna Thomas2, Chung-Chu Teng3, William Burnett4 and David Castel2, (1)Unaffiliated, Retired, Gulfport, MS, United States, (2)University of California San Diego, Scripps Institution of Oceanography, La Jolla, CA, United States, (3)NOAA Center for Operational Oceanographic Products and Services, Silver Spring, MD, United States, (4)Naval Meteorology and Oceanography Command, Stennis Space Center, MS, United States
Peer Review of Best Practices (267049)
Jay Pearlman, IEEE, Port Angeles, United States, Pier Luigi Buttigieg, Alfred Wegener Institut, Helmholtz Zentrum fūr Polar- und Meeresforschung, HGF-MPG Joint Research Group for Deep Sea Ecology and Technology, Bremerhaven, Germany, Pauline Simpson, Central Caribbean Marine Institute (CCMI), Little Cayman, Cayman Islands, Crisitian Munoz, SOCIB, Palma, Spain, Juliet Clair Hermes, South African Environmental Observation Network, Egagasini Marine Offshore Systems, Cape Town, South Africa and Emma E Heslop, IMEDEA (CSIC-UIB), Marine Technologies, operational oceanography and sustainability, Esporles, Spain

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