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
Many public sectors struggle to balance the long list of demand for implementing new information technology (IT) projects while maintaining/improving existing systems that support the core services. Determining how to prioritize several projects for many departments and various groups of users with different educational background is non-trivial. Often times, the person with higher rank gets to choose which projects should be implemented first and the organization ends up with biased project prioritization. In this paper, we introduce a Project Dependency Map and Scoring system (PDMS) for IT project prioritization and ordering. Unlike Program Evaluation and Review Technique (PERT) which is widely adopted for ordering tasks in a project, PDMS can be used to prioritize and order multiple projects for a long term IT investment planning. Dependency between projects along with the project type determine the order of the dependent projects, whereas independent projects can be prioritized and ordered according to the well-defined scoring system based on three different aspects: necessity, readiness, and worthiness. The quantitative scoring scale is derived from more than 4 years of experience working as the IT consultants in implementing IT Strategic Plan for five different public sectors and state enterprises of different sizes and functions. The result of the PDMS, can be indirectly measured by evaluating the number of successful projects which are executed and completed on time. Finally, we applied the PDMS approach at the Dairy Farming Promotion Organization of Thailand (DPO) and found that such approach was well accepted by the ICT board members.
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