Work

Using a structured template to improve the “FAIRness” of datasets from agricultural research

Year: 2026

Type: article

Abstract: • Agronomic research datasets increasingly must satisfy FAIR principles. • A structured workbook template supports complete, accurate dataset assembly. • Local or crop-specific terms are allowed but mapped to more generic ICASA terms. • Software tools facilitate dataset assembly, notably via quality control tests. • Datasets from multi-season nitrogen management demonstrate template use.

Source: Computers and Electronics in Agriculture

DOI: 10.1016/j.compag.2026.111920

Authors: Jeffrey W. White, Kathryn Holland, Cheryl H. Porter, Zachary T. Brym, Thiago Berton Ferreira, Rishabh Gupta, Satya Krishna Pothapragada, Tamara Serrano, Akash Shah, Hardeep Singh, Ajit Williams, Weihuang Xu, Alina Zare, Lincoln Zotarelli, Gerrit Hoogenboom

Institutions: University of Florida, Florida Department of Agriculture and Consumer Services, Institute of Food and Agricultural Sciences

Language: English

Topic: Research Data Management Practices

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: hybrid

Estimated APC paid: $3,870

Funder: Florida Department of Agriculture and Consumer Services

OpenAlex ID: W7162126365

FWCI: 9.153

Cites: 56

Cited by: 1

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