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 Activity and Web Service of National Agricultural Biotechnology Information Center (NABIC) in Korea
The National Agricultural Biotechnology Information Center (NABIC) plays a leading role in maintaining the agricultural genome information in Korea. Our system provides valuable genomic information, including genetic markers, gene annotation, analytical tools and next-generation sequencing system to analyze massive sequencing data. In 2014, we reconstructed a biological integrated- based genome database for agricultural plants and livestock. The NABIC has developed the application of informatics approaches to agricultural biotechnology to support molecular and conventional breeding programs for new crops. In the future, we plan to develop an integrated biotechnology database that combines genome and gene functional information in the major crops. In addition, we will provide a BIGDATA-based database and bioinformatics tools to solve complex biological problems with next-generation sequencing technologies to analyze massive sequencing and transcriptomics data.
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