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 this paper, we analyze the main issues of traceability along the supply chain: architectural solutions, business process interaction, lot identification, traceability information management, and communication standards. In particular, the employment in this setting of two different standards for interenterprise business collaboration (as ebXML and Web Services) is discussed. Moreover, different standards for lot identification and data capture, as EPC for RFID and EAN/UCC for bar code are taken into account, uncovering their potential contributions in reducing the cost of procedures for tracking goods. The Cerere project experience is finally reported: it is shown that the architecture of a Web Information System framework (developed to assess food supply requirements) witnesses the actual possibility to support process integration and semantic interoperability via XML-based technologies.
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