IN001
Achieving the ‘R’ of the FAIR Data Principles: Reusability is the Biggest Challenge, but the Most Rewarding!

Session ID#: 82782

Session Description:
Most efforts implementing the FAIR data principles focus on the F(Findable) and A(Accessible), whilst I(Interoperable) and R(Reusable) languish: of all, achieving Reusability of data is proving the hardest. Ensuring reusability is fundamental, particularly for longitudinal studies where data have to be preserved over decades and survive multiple technological changes. The increased trend towards transdisciplinary research requires data reuse beyond their original purpose, whilst the rise of Artificial Intelligence and Deep Learning require data to be machine-readable and reusable in compute-intensive environments. Reusability is also critical for maximising impact and thus ensuring sustainability of data infrastructures.

This session will explore the many facets of reusability including:

  • Development and governance of domain or data type specific (meta)data standards that enable reuse in transdisciplinary research;
  • Combining multiple data surveys into online analysis-ready reference collections;
  • Insulating data against evolving technology;
  • Moving data out of drawers and off hard-drives so it can be reused online.
Co-Organized:
  • V - Volcanology, Geochemistry and Petrology
Co-Sponsor(s):
  • EGU: European Geosciences Union -
Index Terms:

1904 Community standards [INFORMATICS]
1910 Data assimilation, integration and fusion [INFORMATICS]
1912 Data management, preservation, rescue [INFORMATICS]
1916 Data and information discovery [INFORMATICS]

Primary Convener:  Lesley A Wyborn, Australian National University, Canberra, ACT, Australia
Convener:  Kerstin Lehnert, Columbia University, Palisades, NY, UNITED STATES
Primary Liaison:  Lesley A Wyborn, Australian National University, Canberra, ACT, Australia
 
Ensuring reusability of water quality data: what have we learned as both data users and providers? (Invited) (486279)
Tao Wen1, Xianzeng Niu1, Andrew R Shaughnessy2 and Susan L Brantley1, (1)Pennsylvania State University, Earth and Environmental Systems Institute, University Park, PA, United States, (2)Pennsylvania State University, Department of Geosciences, University Park, PA, United States
 
Taking Magnetotelluric Data Out of the Drawer (Invited) (486379)
Anna Kelbert, USGS Geologic Hazards Science Center, Golden, CO, United States
 
Achieving FAIR’s Data Reusability in Integrated Modeling Environments (491607)
Chris R Vernon, Pacific Northwest National Laboratory, Richland, WA, United States, Robert P Link, Pacific Northwest National Laboratory, Joint Global Change Research Institute, College Park, MD, United States and Mohamad Issa Hejazi, Joint Global Change Research Institute, College Park, MD, United States
 
Making metadata be FAIR, in particular enhancing the ‘R’? – The Approach of the Australian Metadata Working Group. (494206)
Irina Bastrakova, Geoscience Australia, Canberra, ACT, Australia
 
Reusability in NASA’s Earth Observation System Data and Information System (EOSDIS) (497316)
Hampapuram Ramapriyan, Science Systems and Applications, Inc., Lanham, MD, United States and Christopher Lynnes, NASA Goddard Space Flight Center, Greenbelt, MD, United States
 
Reusing Operations & Maintenance Records: Moving from Reactive to Proactive Management of Solar Photovoltaic Sites (507684)
Thushara Gunda, Sandia National Laboratories, Albuquerque, NM, United States
 
Addressing the ‘R’ of the FAIR Data Principles with BUFR (Binary Universal Form for the Representation of meteorological data) (509124)
Markus Heene, Deutscher Wetterdienst (DWD), Offenbach am Main, Germany
 
Enhancing Data Reusability: Experiences from NOAA’s NCEI (516032)
Nancy A Ritchey1, Jason M Cooper2, Michael Brewer2, Sharon Mesick3 and Donald Collins4, (1)National Centers for Environmental Information (NCEI), Asheville, NC, United States, (2)National Centers for Environmental Information, Asheville, NC, United States, (3)National Centers for Environmental Information, Stennis, MS, United States, (4)National Centers for Environmental Information, Silver Spring, MD, United States
 
Keeping Space Science Data Useful for the Long-Term (526050)
John S Hughes, Jet Propulsion Laboratory, Pasadena, CA, United States
 
Reusing Historic Magnetotelluric Time Series Data on HPC Infrastructure (529795)
Nigel Rees1, Dennis Conway2,3, Rui Yang1, Benjamin James Kingston Evans1 and Graham S Heinson2, (1)Australian National University, Canberra, ACT, Australia, (2)The University of Adelaide, Adelaide, SA, Australia, (3)École nationale supérieure d'ingénieurs de Caen, Caen, France
 
Strategies for Integrating Orbital, Airborne, and in Situ Data: Extending a Soil Moisture Visualizer to Visualize Permafrost Data (550052)
Bruce E Wilson1, Hannah Dattilo2, Rupesh Shrestha1, Michele Thornton1, Alison Boyer1 and John James McNelis Jr1, (1)Oak Ridge National Laboratory, Oak Ridge, TN, United States, (2)Oglethorpe University, Physics, Atlanta, GA, United States
 
FAIR is Fair, but Open is Outstanding (554305)
Robert S Chen, Columbia University of New York, Center for International Earth Science Information Network (CIESIN), Palisades, NY, United States, Robert R Downs, Columbia University of New York, Center for International Earth Science Information Network (CIESIN), Palisades, NY, United States and Steven F Browdy, OMS Tech, Orlando, FL, United States
 
Empowering authors to provide the data behind their manuscripts: Lessons learned over the last 25 years publishing planetary and solar science in the American Astronomical Society Journals (554728)
Greg Schwarz, American Astronomical Society, Chevy Chase, MD, United States
 
Crossing the Dataset-Granule Chasm to Enable Interoperability and Reuse (559519)
Ted Habermann, Self Employed, Washington, DC, United States
 
Versioning of Research Data - Patterns and Principles (565981)
Jens F Klump, CSIRO Earth Science and Resource Engineering Perth, Perth, WA, Australia, Mingfang Wu, Monash University, Melbourne, Australia, Julia Martin, Australian National Data Service, Canberra, Australia, Robert R Downs, Columbia University of New York, Center for International Earth Science Information Network (CIESIN), Palisades, NY, United States and Ari Asmi, University of Helsinki, Helsinki, Finland
 
AtMoDat: Improving reusability of atmospheric model data by adapting metadata standards and by providing specific data quality information (573487)
Daniel Neumann1, Karsten Peters1, Anette Ganske2, Johannes Mulmenstadt3, Vivien Voss4, David Grawe4, Heinke Höck1, Stephan Kindermann1, Angelina Kraft2, Andrea Lammert1, Bernd Leitl4, Johannes Quaas3, Heinke Schluenzen4 and Hannes Thiemann1, (1)DKRZ German Climate Computing Centre, Data Management, Hamburg, Germany, (2)Technische Informationsbibliothek (TIB), Hannover, Germany, (3)University of Leipzig, Leipzig Institute for Meteorology, Leipzig, Germany, (4)University of Hamburg, Meteorological Institute, Hamburg, Germany
 
Crediting the reuse and impact of free, FAIR and open biodiversity data through DOI citations and event tracking (580183)
Kyle Copas, Daniel Noesgaard and Dmitry Schigel, GBIF Secretariat, Copenhagen, Denmark
 
Credit for Data Reuse Is Driven by Making Data FAIR: The PARSEC Project Approach (595829)
Shelley Stall1, Alison Specht2, Margaret O'Brien3, Anne Cambon-Thomsen4, Laurence Mabile4, Yasuhiro Murayama5, Pedro Luiz Pizzigatti Corrêa6, Helen Glaves7, Helena Cousijn8 and Eric Olson9, (1)American Geophysical Union, Data Programs, Washington, DC, United States, (2)University of Queensland, Brisbane, Australia, (3)University of California Santa Barbara, Santa Barbara, CA, United States, (4)University Paul Sabatier Toulouse III, Toulouse Cedex 09, France, (5)Integrated Science Data System Research Lab., Tokyo, Japan, (6)University of Tennessee, Knoxville, TN, United States, (7)British Geological Survey, Nottingham, United Kingdom, (8)DataCite, Community Engagement and Communications, Hannover, Germany, (9)ORCID, Inc, Bethesda, United States
 
Best Practices for Curating Geochemical and Petrological Data: The EarthChem Library (605595)
Kerstin Lehnert1, Kelsey Markey2, Annika Johansson3, Sarah Ramdeen4, Lulin Song1 and Sruti Devendran3, (1)Lamont-Doherty Earth Observatory, Palisades, NY, United States, (2)Columbia University of New York, Palisades, NY, United States, (3)Columbia University of New York, Lamont-Doherty Earth Observatory, Palisades, NY, United States, (4)Columbia University, Palisades, NY, United States
 
Increasing reusability of Critical Zone data with CUAHSI HydroShare and CZ Manager (610042)
Miguel Leon1, David J Lubinski2, Collin A Bode3, Luigi Marini4, Martin Seul5, Louis A Derry6 and William H McDowell1, (1)University of New Hampshire, Durham, NH, United States, (2)University of Colorado, Boulder, United States, (3)NCED UC Berkeley, San Francisco, CA, United States, (4)University of Illinois at Urbana Champaign, Urbana, IL, United States, (5)Consortium of Universities for the Advancement of Hydrological Science, Water Data Center, Washington, DC, United States, (6)Institut de Physique du Globe de Paris, Paris, France
 
Reusing Data and Metadata to Create New Metadata through Machine-learning & Other Programmatic Methods (617308)
Justin Gosses1,2, Anthony R. Buonomo2,3, Brian A. Thomas4, Evan Taylor Yates4,5 and Rena W. Yuan6, (1)Science Application International Corporation Houston, Houston, TX, United States, (2)NASA Headquarters, Washington, DC, United States, (3)Science Applications International Corporation Washington DC, Washington, DC, United States, (4)NASA Headquarters, Washington, United States, (5)Science Applications International Corporation, Mountain View, United States, (6)U.S. Department of Agriculture, Washington D.C., United States
 
Capturing, preserving & digitizing legacy seismic data from the Soufriere Hills (Montserrat) 1995-2010 eruption (618863)
Glenn Thompson, University of South Florida Tampa, School of Geosciences, Tampa, FL, United States and Thomas Shea, University of South Florida Tampa, Geosciences, Tampa, FL, United States
 
Data reusability and its role in the democratization of marine data (619313)
Justin James Henry Buck1, Jay Pearlman2, Scott Bainbridge3, Eugene F Burger4, Pier Luigi Buttigieg5, Matthew Casari6, Kenneth S Casey7, Louise Darroch Dr8, Joaquín Del Rio9, Eric Delory10, Thomas Gardner1, Simon Jirka11, Alexandra Kokkinaki12 and OceanObs'19 white paper team on ocean data product integration through innovation, (1)National Oceanography Center, BODC, Liverpool, United Kingdom, (2)IEEE, Seattle, WA, United States, (3)The Australian Institute of Marine Science (AIMS), Townsville, Azerbaijan, (4)NOAA, Boulder, CO, United States, (5)J&FE, Chief Scientist, Seattle, WA, United States, (6)NOAA Pacific Marine Environmental Laboratory, Seattle, United States, (7)NOAA National Centers for Environmental Information, Silver Spring, MD, United States, (8)British Oceanographic Data Center, Liverpool, United Kingdom, (9)Polytechnic University of Catalonia, Observatory, Vilanova i la Geltru (Barcelona), Spain, (10)Oceanic Platform of the Canary Islands, Observatory, Telde, Spain, (11)52North, Munich, Germany, (12)BODC, Liverpool, United Kingdom
 
Improving data reusability for high performance datasets (627637)
Kelsey A Druken1, Benjamin James Kingston Evans2, Kashif Gohar3, Nigel Rees2, Clare Josephine Richards2, Jingbo Wang2 and Rui Yang2, (1)Australian National University, National Computational Infrastructure, Canberra, ACT, Australia, (2)Australian National University, Canberra, ACT, Australia, (3)Australian National University, Canberra, Australia
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