IN41A:
FAIR Data Is Not Enough: Communicating Data Quality and Making Analytical Code FAIR I


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Session ID#: 60523

Session Description:
Regardless of the scientific discipline, a fundamental characteristic of science is the exploration of truth, which implies transparency of methods of analysis and interpretation as well as understanding imperfections in data to arrive at sound conclusions. Fundamental to such understanding is conveying accurate and rich information about the observations, analytical source code, outputs, and scientific findings.

 

Source code used in data analysis, like the data themselves, needs to be Findable, Accessible, Interoperable and Reusable (FAIR): it also needs to be properly versioned, curated and archived to ensure research outcomes can be validated.

 

This session seeks to explore community best practices, challenges, cost, benefits, and recommendations for how conveying uncertainty information can be made more consistent across multiple Earth science domains and how to manage, cite, discover, and share software source code.

Primary Convener:  David F Moroni, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States; NASA Jet Propulsion Laboratory, Pasadena, United States
Conveners:  Jens F Klump, CSIRO Earth Science Resource Engineering, Perth, Australia, Shelley Stall, American Geophysical Union, Open Science Leadership, Washington, DC, United States and Corinna Gries, University of Wisconsin Madison, Madison, WI, United States
Primary Liaison:  David F Moroni, NASA Jet Propulsion Laboratory, Pasadena, United States; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
Chairs:  David F Moroni, NASA Jet Propulsion Laboratory, Pasadena, United States; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States and Shelley Stall, American Geophysical Union, Open Science Leadership, Washington, DC, United States
OSPA Liaison:  Jens F Klump, CSIRO Earth Science Resource Engineering, Perth, Australia

Cross-Listed:
  • A - Atmospheric Sciences
  • C - Cryosphere
  • GC - Global Environmental Change
  • OS - Ocean Sciences
Index Terms:

0520 Data analysis: algorithms and implementation [COMPUTATIONAL GEOPHYSICS]
1904 Community standards [INFORMATICS]
1976 Software tools and services [INFORMATICS]
1978 Software re-use [INFORMATICS]

Abstracts Submitted to this Session:

FAIR enough? Can we (already) benefit from applying the FAIR Data Principles to software? (Invited) (348528)
Neil Chue Hong, University of Edinburgh, Edinburgh, EH9, United Kingdom and Daniel S. Katz, University of Illinois at Urbana Champaign, National Center for Supercomputing Applications, Urbana, United States
FAIR is not Fair Enough, Particularly for Software Citation, Availability, or Quality (Invited) (352785)
Daniel S. Katz, University of Illinois at Urbana Champaign, National Center for Supercomputing Applications, Urbana, United States and Neil Chue Hong, University of Edinburgh, Edinburgh, EH9, United Kingdom
PRYSM: open code for PRoxY System Modeling (Invited) (352020)
Sylvia Dee, Rice University, Earth, Environmental, and Planetary Sciences, Houston, TX, United States, Julien Emile-Geay, Univ. of Southern California, Department of Earth Sciences, Los Angeles, United States and Feng Zhu, NSF National Center for Atmospheric Research, Boulder, United States
Recommendations on Software and Service Citations from ESIP (433669)
Jessica Hausman, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, Shelley Stall, American Geophysical Union, Open Science Leadership, Washington, DC, United States and James H R Gallagher, OPeNDAP, Inc., Butte, United States
The Needs and Challenges for Robust Uncertainty Quantification for Earth Science and Applications (Invited) (351798)
Duane Edward Waliser, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
Dealing with Structural and Parametric Uncertainty in an Earth System Model (Invited) (374851)
Peter E Thornton1, Daniel M Ricciuto2 and Michele Thornton1, (1)Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, United States, (2)Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, TN, United States
Scientific workflows, reproducibility and uncertainty quantification in the paleogeosciences (Invited) (350220)
Nicholas McKay, Northern Arizona University, School of Earth and Sustainability, Flagstaff, AZ, United States, Julien Emile-Geay, Univ. of Southern California, Department of Earth Sciences, Los Angeles, United States and Deborah Khider, University of Southern California, Information Sciences Institute, Los Angeles, CA, United States
Simulation-Based Uncertainty Quantification for Atmospheric Remote Sensing Retrievals (420157)
Jonathan Hobbs1, Ali Behrangi2, Amy J Braverman3, Eric J Fetzer4, Hugo Lee5, Hai Nguyen1 and Joaquim Teixeira6, (1)Jet Propulsion Laboratory, Pasadena, CA, United States, (2)University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (4)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (5)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (6)Jet Propulsion Laboratory, Pasadena, United States

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