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
INDICATION OF THE STATE OF THE ENVIRONMENT WITH GIS AND PEOPLE: A CASE STUDY AND PLANNING TOOL FOR MULFINGEN, A MUNICIPALITY IN SOUTH GERMANY
As an outcome of a five years research project and a couple of experiences in other studies we present a case study and planning tool about an indication of the state of the environment of the municipality Mulfingen, South Germany. Municipalities in Germany do have the major planning power and thus steer their development, including socio-ecological resources and loads. Firstly, we discuss indicator sets for sustainable development, focusing on the environment. Secondly, we explain the context and the main case study in the municipality Mulfingen. In a third step we present our indicator set, chosen together with the stakeholders. Fourthly, we describe the use of GIS and data base, and show the advantages of calculations and visualisation. After that, 21 indicators in the categories and so-called action fields: Energy supply, water supply, waste, settlements, environmental protection, agriculture, tourism, and nature conservation are calculated. Four of them indicate good conditions, eight show more or less acceptable situations, and nine indicator values are seriously bad. As a final result, the complete balance of the state of the environment is presented as an amoeba diagram. For the overall approach we conclude, that it is of high importance to define indicators as well as the use of information technology closely with the people involved, in order to optimize the outreach of the approach.
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