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 classic definition of metadata is simply stated as data about data. Straightforward as it may be, this data can be very powerful. In this paper we will explore the possibility of how we can leverage metadata in a typical enterprise environment to produce efficiencies, increase data quality/confidence and improve business decision making. To set the stage we will briefly describe the environment depicted in the diagram below. Transactional systems will act as the source of data. As data flows down stream it often resides in a data warehouse, which supports decision_support Systems (DSS). A data warehouse provides an analytical environment and acts as a repository for an organization's historical data. From the warehouse the data lineage is continued as data marts are created down stream for specific reporting areas and as integration is built among the different analytical environments. The collection of data lineages, we will refer to as the Information Supply Chain (ISC). Metadata is the key enabler binding together the web of data in the ISC. This type of environment often presents a challenge - business users and system analysts struggle trying to fully understand the business rules, data lineage and business definitions of data terminologies. We propose using Object Role Modeling (ORM) to design and build a central metadata repository that supports the retention of data definitions and data lineage of the ISC plus other metadata properties required in a repository system to play an active role throughout the lifecycle of data from source to BI reporting. The metadata repository will hold the knowledge of the enterprise shareable systems and data and make it available at the conceptual level. We will leverage ORM and the centralized repository to produce the following key features: Model and build a metadata manaaement system Extract metadata from ORM into the metadata repository Explore metadata based automation of data mart schemas and ETL specifications Automate the code generation of stored procedures and class objects based on metadata.
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