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
Annotation: Quality of the information system significantly influences the competitiveness of a company. Information and data saved in the information system have become one of the most important corporate assets, especially when used in connection with relevant experience and knowledge. Farmers need to make their decisions on the basis of quality data and information. Primary data are typically recorded while their content is not exploited at all - unless they are further processed and used for analyses, modelling and simulations. Agriculture is a very specific sector - it is therefore very hard to use modules of the management information systems made primarily for other industries. Farm management information systems allow users to perform analyses, simulations and modelling. In the Czech Republic, information and data mining for managerial purposes in the agrarian sector has been on a very low level in the long-term. The survey showed that only 7% of companies use Business Intelligence software while almost 80% of companies struggle with the lack of information which they cannot retrieve from their information system. Moreover, 8% of the companies make their decision intuitively, without having their decisions justified. In order to enhance the support for decision- making processes, a structure suitable for data processing and use (reports) has been designed. Proposing a convenient model that would allow simultaneous access to data from all units of the company should result in a significant competitiveness increase during the entire decision-making process. The managers have to define - based on their knowledge and experience - the data and information to be converted into a consolidated and integrated database for the Business Intelligence.
Inappropriate format for Document type, expected simple value but got array, please use list format