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
Cyber Physical Systems (CPS), interconnected smart devices in the Internet of Things (IoT) and other data sources are increasingly bridging the gap between the physical and digital world by providing fine-grained data about real-world events. Enterprise software systems are adopting the paradigm of event-based systems (EBS) to enable them to react to meaningful events in a timely manner. Smart supply chains fusing dynamic sensor data with information provided by backend-systems are one such example of event-based enterprise systems. Monitoring their global state in an effective way for runtime governance remains an open research challenge: providing the required type of information while trading off precision for costs. We previously introduced application-specific integrated aggregation (ASIA) as a means for collecting metadata in distributed event-based systems. In this paper, we show how ASIA can support IT Service Management in monitoring and governing decentralized event-based enterprise systems at runtime. We present a dashboard based on industry-strength technology as proof of concept and discuss how to integrate usage statistics provided on-the-fly by ASIA into metrics for runtime governance. We evaluate our monitoring approach in terms of performance, scalability and precision.
- Indiana_Univ_Purdue_Univ_Indianapolis (US)
- Imperial_Coll_London (UK)
- Univ_Otago (NZ)
- Univ_Svizzera_Italiana (IT)
- Tech_Univ_Darmstadt (DE)
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