Open Access and Reproducibility in Plant Pathology Research: Guidelines and Best Practices

Phytopathology. 2024 May;114(5):910-916. doi: 10.1094/PHYTO-12-23-0483-IA. Epub 2024 Apr 19.

Abstract

The landscape of scientific publishing is experiencing a transformative shift toward open access, a paradigm that mandates the availability of research outputs such as data, code, materials, and publications. Open access provides increased reproducibility and allows for reuse of these resources. This article provides guidance for best publishing practices of scientific research, data, and associated resources, including code, in The American Phytopathological Society journals. Key areas such as diagnostic assays, experimental design, data sharing, and code deposition are explored in detail. This guidance aligns with that observed by other leading journals. We hope the information assembled in this paper will raise awareness of best practices and enable greater appraisal of the true effects of biological phenomena in plant pathology.

Keywords: bioinformatics; computational biology; data science; epidemiology; genomics; microbiome; modeling; pathogen detection; population biology; techniques.

MeSH terms

  • Access to Information
  • Guidelines as Topic
  • Information Dissemination
  • Plant Pathology*
  • Publishing / standards
  • Reproducibility of Results