The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.
This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.
You can access and play with the graphs:
- Evolution of the number of publications between 2005 and 2015
- Map of most publishing countries between 2005 and 2015
- Network of country collaborations
- Network of institutional collaborations (+10 publications)
- Network of keywords relating to data - Link
The article investigates how agricultural extension services respond to demands for new knowledge support within agriculture. The author asks whether they provide for the knowledge needs of agriculture as per a conventional agro-industrial model, or act as catalysts for restructuring processes. The extension services are analysed as part of regional innovation systems. The article investigates extension services in one Norwegian county, Hedmark, and one Swedish county, Varmland. In Varmland changes are aimed towards a regionally networked system supporting entrepreneurship and rural development. In Hedmark the extension services remain integrated in a regionalized national innovation system promoting a conventional agro-industrial model, although signs of support of an extended knowledge base are identified.
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