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
Proper data curation is a prerequisite for the creation of long-lasting value from scientific datasets and for the generation of authoritative data-driven decision_support tools. Availability of detailed information on instruments calibration and other useful metadata are essential for effective data use and re-use. High quality and standardized metadata, in turn, allows effective data discovery through web-based data catalogues, linking interoperable data repositories and paving the way to federated data infrastructures on a global scale, to ensure that data are made available to scientists, decision makers and automated computing workflows. This paper presents the approach undertaken by the Centre for Maritime Research and Experimentation (CMRE) to provide a "common enterprise bus" in which scientific data and added-value products are the principal currency.
Inappropriate format for Document type, expected simple value but got array, please use list format