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
Measuring the Interest of German Students in Agriculture: the Role of Knowledge, Nature Experience, Disgust, and Gender
Modern knowledge-based societies, especially their younger members, have largely lost their bonds to farming. However, learning about agriculture and its interrelations with environmental issues may be facilitated by students' individual interests in agriculture. To date, an adequate instrument to investigate agricultural interests has been lacking. Research has infrequently considered students' interest in agricultural content areas as well as influencing factors on students' agricultural interests. In this study, a factorial design of agricultural interests was developed combining five agricultural content areas and four components of individual interest. The instrument was validated with German fifth and sixth graders (N = 1,085) using a variance decomposition confirmatory factor analysis model. The results demonstrated a second-order factor of general agricultural interest, with animal husbandry, arable farming, vegetable and fruit cropping, primary food processing, and agricultural engineering as discrete content areas of agricultural interest. Multiple regression analyses demonstrated that prior knowledge, garden experience, and disgust sensitivity are predictors of general agricultural interest. In addition, gender influenced interest in four of the five agricultural content areas. Implications are directed at researchers, teachers, and environmental educators concerning how to trigger and develop pupils' agricultural interests.
Inappropriate format for Document type, expected simple value but got array, please use list format