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 many research domains, studies need to be addressed in a multi-disciplinary manner: each expert deals with a particular aspect of the problem. It may be useful for experts to take into account new data, share partial results, and update their own indicators and models, in order to take advantage of new measures and updated indexes in real time. For this, an easily-understandable knowledge model for any raw data source, statistical operator, indicator or business process to be available for experts, is needed. In this paper, we propose a goal-oriented meta-model, to index and reuse treatments and an extension of existing semantic Web standards to index goal-oriented services and assist and/or automate their selection. These features enable capabilities for interoperability and information exchange between three layers of knowledge: goal, domain and data layers. An application with an existing ontology of the agriculture domain and farm durability indicators will be proposed.
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