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
Many predictions were made in the growing field of supply chain management at the turn of the twenty-first century to establish the state of key concepts in the field as well as to motivate discussion, help guide resource allocation and implementation initiatives, and spark research to enhance understanding of many revolutionary supply chain management topics. The environment for supply chain activities has changed considerably since 2000, and many experts predict that even more significant change will occur over the next decade. This article will review industry progress on a set of 10 megatrends originally proposed in 2000, as well as extrapolate what the state of these trends may be over the next decade. In addition, new trends are identified that were not yet on the horizon in 2000, but will likely be influential in driving the changing supply chain over the next 10 years.
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