e-infrastructure Roadmap for Open Science in Agriculture

A bibliometric study

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.

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A Cloud-based Data Farming Platform for Molecular Dynamics Simulations


With the cloud paradigm and the concept of everything as a service (XasS), our ability to leverage the potential of distributed computing resources seems greater than ever. On the other hand, data farming is a methodology based on the idea that by repeatedly running a simulation model on a vast parameter space, enough output data can be gathered to provide an meaningful insight into relations between the model's properties and its behaviours, with respect to the simulation's input parameters. In this paper, we present an extension of a data farming computing platform, named Scalarm, and it's evaluation in the context of molecular dynamics (MD) simulations on heterogeneous resources, such as clusters and cloud systems. As a case study, this paper demonstrates how MD simulations can be run with Scalarm on different infrastructures easily without requiring any modifications to the source code of the original MD simulation program. Finally, results from nano droplet simulation runs are presented, that show the advantages of the Scalarm platform for running MD simulations on a heterogeneous infrastructure - not only for collecting pure numeric data, but also for automated post processing and visualization of the results.

  • PL
  • DE
  • AGH_Univ_Sci_&_Technol (PL)
Data keywords
  • cloud based
  • distributed computing
Agriculture keywords
  • farming
Data topic
  • big data
Document type

Inappropriate format for Document type, expected simple value but got array, please use list format

Institutions 10 co-publis
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    e-ROSA - e-infrastructure Roadmap for Open Science in Agriculture has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730988.
    Disclaimer: The sole responsibility of the material published in this website lies with the authors. The European Union is not responsible for any use that may be made of the information contained therein.