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
Geospatial database items originate from the analysis of images and from the manipulation of geographic data. The corresponding datasets are described via diverse structures of metadata. GeoBase L9 is a project whose aim is to build a geospatial database to support geomatics research in agricultural and natural resource management. The first objective, to support basic browsing access to datasets, has been attained in a pilot version. This paper reports on the stage- based outlook that we have adopted towards building a semantic query facility as a medium-term objective. In particular, we examine the representation of processes applied to satellite images with respect to information items that are contained in the metadata lineage section. This query facility supports a research unit that is collectively developing and using geospatial datasets. The development of such datasets will enhance both the sharing and reuse of data by users. Further into the future, the geodatabases will able to be opened to semantic web browsers by incorporating meaning in the metadata.
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