on 17 Jun 2019 12:00 AM

The 11th International Workshop on Science Gateways (IWSG 2019) took place on June 12-14, 2019, in Ljubljana, Slovenia. 

Science Gateways are a community-specific set of tools, applications, and data collections that are integrated together via a Web portal or a desktop application, providing access to resources and services of Distributed Computing Infrastructures (DCIs). Nowadays, computing resources that may be used in Science Gateways go beyond the usual Grid. Computing resources such as the hybrid Cloud (Cloud, Fog, Edge), the Internet of Things (IoT) and various off-the-shelf methods of Artificial Intelligence (AI) may be readily used for scientific applications. Additionally, technologies such as Blockchain and Smart Contracts may be used for secure aggregation of resources for scientific work at an unprecedented large scale.

The workshop aimed to bring together researchers and scientists from different scientific domains, along with software engineers and Science Gateways developers, to discuss problems and solutions in the area, to identify new issues, to shape future directions for research, foster the exchange of ideas, standards and common requirements and push towards the wider adoption of Science Gateways in e-Science. 

Massimiliano Assante from CNR attended the event and presented AGINFRA+ consortium paper by the title "Realising a Science Gateway for the Agri-food: the AGINFRAplus Experience".

Such paper presents the solution developed by the AGINFRA+ project to overcome one of the major limitation faced by the agri-food researchers, i.e. the fragmentation of the “assets” to be exploited when performing research tasks. Data of interest are heterogeneous and scattered across several repositories, the tools modellers rely on are diverse and often make use of limited computing capacity, the publishing practices are various and rarely aim at making available the “whole story” with datasets, processes, workflows. 

AGINFRA+ is developing and operating a comprehensive and rich platform (link to following the system of the systems approach, where the constituent systems offer “resources” (namely services) for the implementation of the resulting system facilities. In particular, such a platform aggregates “resources” from “domain agnostic” service providers (e.g. D4Science, EGI, OpenAIRE) as well as from community-specific ones (e.g. AgroDataCube, AGROVOC, RAKIP model repository) to build a unifying space where the aggregated resources can be exploited via VREs.

The presentation is available here



The selected AGINFRA+ Use Cases will illustrate the benefits of applying the Science as a Service approach to pressing research questions from the corresponding research communities.


This community focuses on use cases aim to support the workflow of researchers, intermediaries and business analysts working on crop modelling, crop phenology estimation and yield forecasting, as well as related activities in the area of policy and decision support in food security, farm management advice and related activities.



This community focuses on use cases to support scientists in the multidisciplinary field of risk assessment and emerging risk identification as there is currently a strong need to create new technology-supported solutions that facilitate the knowledge integration processes relevant for these tasks.



This community focuses on use cases related to the high-throughput phenotyping large amount of data which need to be analyzed immediately for decision making. This aims to support phenomics researchers to select plant species and varieties which are the most adapted to specific environments and to global changes.


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