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
Can We Stay Ahead of the Obsolescence Curve? On Inflection Points, Proactive Preemption, and the Future of Supply Chain Management
Great companies-like great products and great nations-have always endured a four-stage life cycle: emergence, growth, maturity, and decline. Faster clockspeeds-enabled by compressed technology cycles and accelerated by new knowledge-sharing routines such as crowdsourcing-are shrinking life cycles. What does this mean? Entities of all kinds now find themselves in a constant race against obsolescence. We thus ask a vital question,"Can we (as a discipline) stay ahead of the obsolescence curve?" Technological and sociological inflection points promise to change the rules of engagement. For instance, 3D printing, Big Data, and drones promise to change management practice. Budget deficits, poor skill improvement, and MOOCs promise to change academe. We discuss adaptation challenges and proactive preemption as preludes to presenting various visions of the future of supply chainmanagement.
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