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
The forest sector is expected to become an integral component of the emerging bioeconomy by offering unique advantages that can fulfill a number of economic, social, and environmental objectives. "Big Data" has emerged as a used to describe the use and benefits of unparalleled access to digital information that represents unprecedented opportunities for advancing science and supporting forest management through data-intensive approaches. This short paper puts into perspective the global challenge of acquiring and sharing multi-dimensional data, be they socio-economic or environmental in nature. Despite the explosion in environmental Big Data derived from global-scale forest monitoring, the deficit in social and economic data and the lack of their integration into a multi-dimensional decision-making system may limit the full potential of the forest's contribution to the bioeconomy, including both marketed and non-marketed goods and services. In consequence, it is crucial to support sustainable forest management and flexible value chains with data-driven analyses and cross-disciplinary approaches, not only to boost the shift from traditional forestry towards the bioeconomy, but also to improve environmental, social, and economic sustainability in the forest sector.
Inappropriate format for Document type, expected simple value but got array, please use list format