Education and research farms should aim to demonstrate practical open data systems, acting as key knowledge hubs to support the next generation with the skills required for wider adoption in an increasingly data-driven agricultural landscape.
Implications
- Wider sharing of agricultural data is essential for innovation and progress in the agricultural sector. However, most data remain confined to limited stakeholder groups via third-party systems.
- Alongside concerns of data ownership and privacy, inconsistent data formats, limited platform interoperability, and the curation of high-quality datasets are shared challenges across commercial, research and educational farms.
- Following its “Four Pillars of Farm Data,” Harper Adams Future Farm is working toward a more collaborative and innovative future for agricultural data by actively promoting and integrating open data principles into everyday processes.
- Research and education farms equipped with multidisciplinary support teams are arguably better positioned to curate practical, high-value datasets.Education and research farms should aim to demonstrate practical open data systems, acting as key knowledge hubs to support the next generation with the skills required for wider adoption in an increasingly data-driven agricultural landscape.
Source: Animal Frontiers
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