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
Advocates of technology innovation often invoke rhetoric associated with "riding down the technology cost curve," in which technology costs fall as technology deployment increases. These assumed cost reductions, however, require a number of necessary developments to take place within a technology's innovation system. This research looks at shifts in the biofuel technology innovation system over time, and discusses the role that key government policies may have had in promoting successful technology innovation. Through the use of Natural Language Processing alongside machine learning algorithms, we assess shifts in biofuel technology innovation across several hundred firms. The full background text of over 755,000 patents from the U.S. Patent and Trademark Office patent database has been analyzed and classified using the Stanford NLP Classifier. For the case of biofuels, there have been two periods of innovation; one associated with a strong coalition of agricultural firms, and a second period marked by disparate biotechnology firms working to secure a poorly defined niche market. Data show that government policy may have encouraged and facilitated innovation activity for 1st generation biofuels, but may have been largely ineffective at encouraging knowledge development and diffusion for 2nd generation technologies. Our data indicate that 2nd generation biofuels are far from market maturity compared to 1st generation biofuels, and that new government policy approaches may be necessary to better promote knowledge development and diffusion, or use of these 2nd generation biofuels may remain limited.
Inappropriate format for Document type, expected simple value but got array, please use list format