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
In this article, 410 papers published between 1999--2004 in ten leading Chinese academic journals related to IS in terms of subjects and methodologies are surveyed. A similar classification system used in research by Enrique Claver is adopted in order to find out the similarities and differences between North American and Chinese IS research. The most popular areas throughout these years have been IS Development and Information Technologies. IS Management have been the topic of a few number of articles, indicating the wide gap between domestic and abroad In IS Usage, research emphasis has transferred from Office automation or Factory automation to Business process reengineering, E-business, Supply chain management/logistics, and Knowledge management. An overwhelming majority of the studies are non-empirical. Among the theoretical studies are the conceptual ones, followed by illustrative and, finally, applied concepts. At a macro level, this information should help authors in the choice of appropriate subject areas and methodologies in most productive manner.
Inappropriate format for Document type, expected simple value but got array, please use list format