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
Planners, researchers, development agencies and farmers require information on animal resources for further studies and evolving realistic strategies for improvement and rearing of livestock and poultry. Data is also required for keeping watch on prices and movement of animal products, animal feed and establishment of services such as veterinary hospitals, artificial insemination (AI) centers, meat and dairy industries, etc. Further, there is a need to study animal resources in relation to other aspects of agriculture, such as soils, vegetation, agro-meteorology, socio-economic, land use, water resources for overall development of agricultural production system. Indian Agricultural Statistics Research institute (IASRI), New Delhi has designed and implemented a Central Data Warehouse (CDW) under a National Agricultural Technology Project (NATP) Mission Mode sub-project entitled "Integrated National Agricultural Resources Information System (INARIS)". In this CDW, 13 different data marts related to various subjects in agriculture were designed, implemented and integrated. In this article, attempt was made to discuss concepts and problems of dimensional modeling of the animal data mart in relation to available source data on livestock resources in the country. Alternative solutions to specific problems were also discussed along with the solution implemented for modeling of this data mart. The complete process of building On-line Analytical Processing (OLAP) system for research managers including inbuilt technique of data quality and consistency checks to be implemented is being described with special reference to animal resource management. This article will provide guidelines for design and development of similar complex data marts in agricultural sector, particularly in the field of livestock management (C) 2008 Elsevier B.V. All rights reserved,
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