Online Resource

FAIR data management for Long-term agriculture experiments

This lesson is aimed at long-term agricultural experiment (LTE) managers, and researchers interested in using long-term agricultural experiment data, who want to apply FAIR principles and good research data management practices to their LTE data. While the target audience for this lesson is therefore LTE managers and researchers, the lesson covers many data management and FAIR data topics relevant to a broader audience working on agricultural field trials.

Keywords: Dataset, FAIR, Metadata, biological research, data licensing, data management plan, data sharing, data stewardship, persistent identifie, plant phenotyping, reproducibility

Target audience: Postgraduate student, Postgraduate researcher, Researcher, Trainer, Industry, Public sector, Research Software Engineer, Bioinformatician, Open Research Specialist, Research skills educator, Undergraduate student

Resource type: Online Resource

Authors: Richard Ostler


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