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
Enterprise collaboration: On-demand information exchange using enterprise databases, wireless sensor networks, and RFID systems
New extended enterprise models such as supply chain integration and demand chain management require a new method of on-demand information exchange that extends the traditional results of a global database query. The new requirements stem from, first, the fact that the information exchange involves large numbers of enterprise databases that belong to a large number of independent organizations, and second, these databases are increasingly overlapping with real-time data sources such as wireless sensor networks and radio-frequency identification (RFID) systems. One example is the industrial push to install RFID-augmented systems to integrate enterprise information along the life cycle of a product. The new effort demands openness and scalability, and leads to a new paradigm of collaboration using all these data sources. The collaboration requires a metadata technology (for reconciling different data semantics) that works on thin computing environments (e.g., emerging sensor nodes and RFID chips) as well as on traditional databases. It also needs a new extended global query model that supports participants to offer/publish information as they see fit, not just request/subscribe what they want. This paper develops new results toward meeting these requirements.
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