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
Linking databases of different sources and scales for groundwater research in the Urema River Basin/Central Mozambique
The Urema River basin is the major sub catchment of the Pungue River basin situated in Central Mozambique. The Urema River basin controls the ecosystem of the Lake Urema, which with its extended flood plains forms a major feature of the Gorongosa National Park. The Urema River influences the flood and low water levels of the Pungue River, which is the main source of potable water of Beira - the second largest city of Mozambique. The area of the Urema river basin is densely populated and intensively used for subsistence agriculture, timber production, widely spread gold mining, tourism and nature conservation. A university project aiming at developing a model of the groundwater dynamics and assessing groundwater qualities of the Urema River basin was recently initiated. Up to now very few groundwater investigations were conducted in Mozambique. Current database management of groundwater data is poorly developed. Data are kept in tabular formats and serve mainly for record keeping purposes. Confronted with these challenges the presentation demonstrates the project's approaches of linking the various database sources to achieve a large to medium scale concept of the hydrodynamics of the Urema River basin. Based on current project findings the improvement of the resolution of digital data from current small to larger scales is necessary to enhance information contents. Further geochronological investigations are required to understand the geological evolution of the area and to update the stratigraphic order of geological formations. In future a groundwater-monitoring network needs to be established to capture long-term and baseline data.
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