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
Enriching the Description of Learning Resources on Disaster Risk Reduction in the Agricultural Domain: An Ontological Approach
The collection, compilation and dissemination of relevant information and knowledge about the risk of natural disasters is a critical element in the Hyogo Framework for Action 2005-2015 for disaster risk reduction. Knowledge, innovation and education are needed not only to build a culture of safety and resilience at all levels, but also to mainstream disaster risk reduction especially in weather and climate-sensitive sectors such as agriculture. Describing learning resources about these topics with semantic metadata enhances their availability and further facilitates the search and retrieval process by using richer annotations based on ontologies. This paper reports about ongoing work concerning the creation of a domain ontology based on AGROVOC as well as the UN/ISDR and related terminology on disaster risk reduction for the description of associated learning resources in the agricultural domain.
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