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
Digitizing Early Farming Cultures Customizing the Arches Heritage Inventory & Management System
The aims of the project 'Digitizing Early Farming Cultures' (DEFC) are to create standardized and integrated research data of Neolithic and ChaIcolithic sites and finds of Greece and Anatolia (c. 7000-3000 BC according to Greek terminology), two neighbouring and archaeologically closely related regions usually studied in isolation of each other. The data will be made available open access online ensuring compliance to standards in data production for data sharing (metadata and mappings) and interoperability with related initiatives. In this paper we will present first results of the project. Based on focus group meetings and analysis of our resources we created a conceptual data model for a site database. We will implement the data structure into the Arches Heritage Inventory & Management System and extend the Arches CIDOC CRM graph for the mapping of our data.
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