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
The Farm Animal Biodiversity Network (FABISnet) is a new biodiversity network for collecting domestic animal breeds data from the European countries. Data are collected on National, Regional and Global level and can be automatically transferred between the levels. As a successor of the Animal Genetic Data Bank of the European Association for Animal Production (EAAP-AGDB) and the Domestic Animal Diversity Information System (DAD-IS) of the Food and Agricultural Organization (FAO), it has taken their historic data and integrated them in a network of databases. However, the data are incomplete. For example the general description of 57% of the registered European breeds are very sparse and for more than 3900 breeds the population size and structure statistics are outdated. A set of 13 management support reports and a methodology for their application has been developed. The reports present Summarized information about the degree of completeness of the breeds descriptions by country, missing or incomplete population records, reminders for updating data and the status of data translation. Various monitoring/reporting tasks of the National and Regional Coordinators for management of animal genetic resources can be organized in a systematic manner using these reports. Such an organizational scheme can reduce the time spent in completing data and improve the content of each database in the network.
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