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
Towards digital ecosystems for skill based industrial clusters: Lessons from the 'Digital Mandi' project
India has a rich foundation of clusters, and initiatives to boost the various functional areas of a cluster by pinpointing the anomalies that cloud them can lead to their dynamism. The digital ecosystem (DE) is one approach through which diffusion and use of ICT can be made self sustaining and self enabling for clusters, specifically clusters that thrive on value addition through embodying their product with skill and craftsmanship. This paper reports initial empirical findings from a collaborative project called the 'Digital Mandi'. The digital ecosystem entails a series of interconnected and intra-dependant digital platforms, created at key institutional levels (international, national and local/Community) augmented by technical (ICT) and social networking processes that help break down barriers to both horizontal and vertical knowledge sharing. The empirical findings show that the 'ecosystem' approach speeds up the process of identification, development and uptake of innovation. We conclude that similar DBEs can be effective for skill based SME clusters facing similar challenges of competitiveness in a rapidly globalizing knowledge driven economy.
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