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
Risky business perceived behavior of local scientists and community support for their research
Attracting new technologies to a region can mean significant economic growth, so understanding why some communities may not favor becoming "the next Silicon Valley" merits consideration. This study investigates the relationship among the perceived behavior of local scientists and community members' attitudes toward their research. Drawing on theories from organizational justice, it hypothesizes that when local residents consider scientists as more just in their behavior, they will also have more favorable attitudes toward the scientists and their research. Just, in this sense, refers to whether scientists are perceived as fair in terms of outcomes, procedures, interpersonal treatment, and explanations in their dealings with the community. Favorable attitudes are measured in terms of concern about new technologies and satisfaction with research. Data were collected via a mail survey of residents in two upstate New York counties (N = 1,306) that host substantial technology research facilities. Controlling for demographics, media use, basic science knowledge, and technology awareness, the results show that distributive justice (i.e., fairness of outcomes) had a consistent, negative relationship with technology concern. In comparison, all four justice variables were positively related with research satisfaction. The findings suggest that the perceived behavior of local scientists may indeed impact community support for their research.
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