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ARS Home » Midwest Area » Columbia, Missouri » Cropping Systems and Water Quality Research » Research » Publications at this Location » Publication #399803

Research Project: Linkages Between Crop Production Management and Sustainability in the Central Mississippi River Basin

Location: Cropping Systems and Water Quality Research

Title: The Agricultural Research Data Network (ARDN)

Author
item PORTER, CHERYL - University Of Florida
item HOOGENBOOM, GERRIT - University Of Florida
item VILLALOBOS, CHRIS - University Of Florida
item ZHANG, MENG - University Of Florida
item Abendroth, Lori
item BAER, BRIAN - Michigan State University
item BASSO, BRUNO - Michigan State University
item Chan, Ming
item MAILHOT, DANIEL - University Of Georgia
item LEBAUER, DAVID - University Of Arizona
item Parr, Cynthia - Cyndy
item REIMER, KRISTINA - University Of Arizona

Submitted to: ASA-CSSA-SSSA Annual Meeting Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: 7/1/2022
Publication Date: 11/6/2022
Citation: Porter, C., Hoogenboom, G., Villalobos, C., Zhang, M., Abendroth, L.J., Baer, B., Basso, B., Chan, M.K., Mailhot, D., Lebauer, D., Sims, C.L., Reimer, K. 2022. The Agricultural Research Data Network (ARDN) [abstract]. 2022 ASA-CSSA-SSSA Annual Meeting, November 6-9, 2022. Baltimore, Maryland. Paper No. 144927. Available: https://scisoc.confex.com/scisoc/2022am/meetingapp.cgi/Paper/144927

Interpretive Summary:

Technical Abstract: There is a major gap between the potential value of data collected in agricultural experiments and the value currently obtained through use of those data. Typically, data collected in experiments are used for the original research purpose only. Vastly greater value might be obtained if the data were combined across locations, time, and management conditions. The Agricultural Research Data Network (ARDN) provides tools and protocols to allow researchers to not only share their data, but to make their data interoperable and reusable. Additional tools allow end users of the data to combine and reformat ARDN data for quantitative analysis and modeling. The four data teams involved in the project at the University of Arizona, Michigan State University, the University of Georgia, and Iowa State University demonstrated the use of these protocols with public datasets collected at each institution. These datasets have been annotated and loaded onto Ag Data Commons to create the first data set in ARDN (https://data.nal.usda.gov/ARDN). This new infrastructure will allow for data collected by research institutions to be permanently stored beyond the lifespan of a project and to be locatable, accessible, machine readable, usable, and reusable by the science community at large to the benefit of society.