Published December 4, 2024 | Version v2
Lesson Open

The AgBioData Curriculum for Ag FAIR Data

  • 1. Phoenix Bioinformatics
  • 1. ROR icon California Polytechnic State University
  • 2. ROR icon Pennsylvania State University
  • 3. ROR icon Iowa State University
  • 4. ROR icon Washington State University
  • 5. ROR icon University of Tennessee at Knoxville
  • 6. The Arabidopsis Information Resource/Phoenix Bioinformatics
  • 7. ROR icon Cold Spring Harbor Laboratory
  • 8. Phoenix Bioinformatics

Description

The increase of genomic, genetic, and breeding (GGB) data in the last decades has heightened the need for data sharing and management guidelines in agricultural research. While several agricultural biological databases maintain and curate GGB data, many scientists are still unaware of how to use them to find and share data. In addition, there is the need to increase scientists’ awareness that appropriate data archiving and curation increases data longevity and value, which in turn bolsters the reproducibility and transparency of scientific discoveries. The AgBioData Education working group (EWG) aims to address these unmet needs and develop a modular curriculum for educators teaching the basics of biological databases and the Findable, Accessible, Interoperable, and Reusable (FAIR) principles to undergraduate and graduate students. The “AgBioData Curriculum for Ag FAIR Data” consists of seven lesson plans covering different aspects and uses of biological databases and FAIR data management. Each lesson plan has specific learning outcomes and includes classroom activities that teachers can incorporate and adapt in their courses. We hope the modular curriculum presented here can help scientists and students understand and support database use in all aspects of improving our global food system.

 

Here you can find:

  • Slides and recording of each lesson plan
  • Content description, suggested activities, and references per lesson plan (PDF file "Curriculum Appendix")

 

Files

AgBioData-1-What-is-a-biological-digital-repository_recording.mp4

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Additional details

Funding

U.S. National Science Foundation
RCN: Reimagining a Sustainable Data Network to Accelerate Agricultural Research and Discovery 2126334