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
As the Chinese economy has become an integral part of the global supply chain, quantifying the environmental impacts by Chinese industry is indispensible to understanding the environmental performance of products in general. Comprehensive and consistent environmental data infrastructure, however, is lacking in China, hindering such an understanding. In this paper, we demonstrate a simplified method for assembling and harmonizing various data sources to develop a sectoral environmental database for input-output life cycle assessment (IO-LCA). We first identified key substances by analyzing previous normalization studies and other countries' sec:oral environmental databases. Data for priority substances were compiled and then adjusted and validated. The database created from this process was then used to analyze the direct and indirect environmental impacts generated by Chinese rural and urban consumptions. Expenditures on food and other basic household needs like heating and cooking were found to play a dominant role in generating environmental impacts in China, while previous studies of industrialized countries also highlighted the importance of transportation. This database provides background information for LCA through, for example, the hybrid approach, and is also conducive to ongoing efforts to develop generic life cycle inventory databases in China.
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