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 advance of web collaborative systems brought new possibilities for the research of complex interdisciplinary topics by means of scientific multidisciplinary networks. Potentially, computational systems can support the management of multifaceted and large scale data sources, providing valuable and indispensable information for the researches. However, these solutions rely on semantic interoperability problems as well as the construction of complex knowledge representation models. This paper describes interoperability issues on the engineering process of the OntoAgroHidro, an ontology to represent knowledge about impacts of agricultural activities on water resources, as well as the impacts from possible climatic changes. The paper also presents representative scenarios and questions, and discusses the reuse and integration of concepts using knowledge visualization techniques.
Inappropriate format for Document type, expected simple value but got array, please use list format