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

Computers and Electronics in Agriculture 2026 Open access

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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
+3 more Alina Zare, Lincoln Zotarelli, Gerrit Hoogenboom
DOI: 10.1016/j.compag.2026.111920
Cited by: 1
References: 56

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.

Fields of Study & Subjects

Research Data Management Practices Smart Agriculture and AI Scientific Computing and Data Management

Publication details

Journal / source
Computers and Electronics in Agriculture
Publisher
Elsevier BV
Volume
250
Pages
111920–111920
Publication date
22 May 2026
Language
EN