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
Purpose - This study aimed to examine organizational digitalization of farmers' associations (FAs) by conducting internal and external analyses of the contextual and geo-spatial attributes of the organizations, and further explored the role such associations play as key change agents in activating agricultural innovations and development in Taiwan. Design/methodology/approach - Unlike previous digitalization studies, which employed user data such as attitudes and behaviors as the major determinants, the present study focused on the spatial and organizational characteristics of FAs. An exploratory spatial analysis was conducted using a geographic information system to discover whether the organizational characteristics, local agriculture development, and neighboring FAs affect the organizational decision and adaption on information services. Research data from three national surveys were analyzed with a spatial regression model. Findings - Results showed that geographical neighborhood, in association with organizational characteristics, significantly affects the decision and level of organizational digitalization, while the development and characteristics of regional agriculture exert no significant influence. Practical implications - In the development of information and communication technology (ICT) diffusion policies for promoting organizational digitalization, it is important to highlight regional initiatives and complementary public efforts to guarantee an equitable access to ICT in areas with variances in economic development. In neighborhood FAs, greater development of economic and labor scales and ICT human capital also contribute to higher levels of organizational digitalization. Originality/value - Based on the study results, suggestions are provided for future research considering spatial forces in agricultural information studies and practical applications.
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