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
Towards an Approach to Identify the Optimal Instant of Time for Information Capturing in Supply Chains
Supply chains are becoming increasingly complex and with this development the challenges towards information management increase. The importance of capturing the right, most relevant information in order to avoid having too much information to handle is commonly accepted in industry and academia. But the question not yet sufficiently discussed by industry and academia is: What is the optimal instant of time to capture the relevant information along the process chain? With this paper the authors look into this issue by first analyzing two practical cases, from a transport and a manufacturing perspective. Afterwards, the elements of information captured are shortly elaborated and finally, constraints on the determination of the optimal instant of time for information capturing are elaborated in order to build a foundation for further research. This paper is a first step towards a methodological approach taking on these issues. A short conclusion and outlook summarizes the paper.
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