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
In any combination of database, a common agreement of the underlying instances concerned to a schema attribute may exist. A distributed database may therefore contain different schemas of same data attributes or different attributes classified from the same population. In this paper, we propose a common schema integration approach to integrating different autonomous agricultural databases of biorefining field of Miscanthus plants. We adopt a model, which is basically relational to some object-oriented properties. We describe methodologies to integrate heterogeneous distributed databases by using this model and show how attribute conflicts and missing attributes can be resolved. We also describe how a query on integrated global schema is managed in heterogeneous agricultural distributed database environment. We give a formal definition and perform extensive experiments to make this integration process strong enough.
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