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
APPLICABILITY OF THE THOUGHT PROCESS OF QUALITY FUNCTION DEPLOYMRENT TO STTRATEGIC MAP DEVELOPMENT - In The Analysis Framework Which Condsists of CDM, BSC AND QFD
We are interested in analytical framework which is efficient for local activation. Our proposed analytical framework consists of two engineering approaches, called Conceptual Data Modelling ( CDM)([1]) and Quality Function Deployment (QFD)([2]), and a business administration approach called the Balanced Scorecard (BSC)([3]). BSC is an approach advocated by Kaplan and Norton. QFD is a design approach proposed by Akao and Mizuno that aims at quality assurance from the design phase of a product. We apply QFD to a wholly different field from the original field. Our proposed framework may be applicable not only for agricultural business but for any type of business. This paper outlines an analytical framework aimed at solving the problems that local agricultural business face. We particularly discuss applicability of the thought processes of Quality Function Deployment to Strategic Map development.
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