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Agricultural data management and sharing: best practices and case study
Agronomy Journal (2021)
  • Eli K. Moore, Rowan University
  • Eli K. Moore, Agricultural Research Service
  • Adam Kriesberg, Simmons College
  • Adam Kriesberg, Agricultural Research Service
  • Steven Schroeder, Agricultural Research Service
  • Kerrie Geil, Agricultural Research Service
  • Inga Haugen, Virginia Tech
  • Carol Barford, University of Wisconsin-Madison
  • Erica M. Johns, Cornell University
  • Dan Arthur, Agricultural Research Service
  • Megan Sheffield, Clemson University
  • Stephanie M. Ritchie, University of Maryland, College Park
  • Stephanie M. Ritchie, Agricultural Research Service
  • Carolyn Jackson, Texas A&M University
  • Cynthia Parr, Agricultural Research Service
Abstract
Agricultural data are crucial to many aspects of production, commerce, and research involved in feeding the global community. However, in most agricultural research disciplines standard best practices for data management and publication do not exist. Here we propose a set of best practices in the areas of peer review, minimal dataset development, data repositories, citizen science initiatives, and support for best data management. We illustrate some of these best practices with a case study in dairy agroecosystems research. While many common, and increasingly disparate data man- agement and publication practices are entrenched in agricultural disciplines, oppor- tunities are readily available for promoting and adopting best practices that better enable and enhance data-intensive agricultural research and production.
Publication Date
April 8, 2021
DOI
10.1002/AGJ2.20639
Citation Information
Eli K. Moore, Eli K. Moore, Adam Kriesberg, Adam Kriesberg, et al.. "Agricultural data management and sharing: best practices and case study" Agronomy Journal (2021)
Available at: http://works.bepress.com/eli-moore/27/
Creative Commons license
Creative Commons License
This work is licensed under a Creative Commons CC_BY International License.