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
Two opposing trends characterize the dilemma for radical innovation in the 21(st) century: the continued explosion of the science and technology base, and the necessarily short-term, profit-driven outlook of the technology sector. Responding to this dilemma, a team of researchers, since 2004, has been developing a methodology for accelerating radical innovation through the industrial technology life cycle. This paper asks what factors drag radical innovation out to the point where momentum and initiative are lost. It then describes the Accelerated Radical Innovation Methodology, which addresses the three grand challenge areas responsible for delaying radical innovation: tech nological/scientific, market/societal, and business/organizational. The methodology is supported by three sets of tools. The first is a systemic approach linking the innovation to underlying market and technological drivers, reframes the problem at higher levels, and develops explicit linkages to interdependent external systems. The second, an interacting triad of information technology tools to support information retrieval, pattern recognition, and knowledge management, helps the innovator manage the overwhelming amount of relevant information. The third consists of a systematic process for developing the communities of practice, clusters, and supply chains necessary to support the radical innovation process. The second and third tool sets are described in companion papers.
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