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
Building Frameworks of Organizational Intelligence: Strategies and Solutions Stemming from the Penn Libraries Data Farm Project
At the University of Pennsylvania Libraries, staff have been experimenting with the development of an extensible schema for measuring library services at the event level. Events are comprised of predicable elements that can be shared over a wide range of interactions and include demographics, information about service genres, environmental variables such as time and location, and the programmatic features of scholarly activity that help describe the library's relationship to teaching and research. Known as Metridoc, this event schema provides a flexible XML expression of such data elements and allows for the integration of seemly disparate events (checking out a book or attending a library reference consultation) based on information about classes of users or the programmatic aspects of user activity. It also can be generalized across institutions to support collective measurement among different libraries. This paper provides an overview of Penn's present MIS or Data Farm environment and current development toward the XML-based, Metridoc strategy for harvesting, storing and analyzing input from events.
Inappropriate format for Document type, expected simple value but got array, please use list format