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The second EOSC-hub Week 2019 will take place on 10-12 April 2019 at the Vienna House Diplomat in Prague, Czech Republic. This year, EOSC-hub Week 2019 brings together both present and future service providers and users of the European Open Science Cloud (EOSC). 

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on 13 Mar 2019 12:00 AM
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On Monday 21st January Enol Fernández from EGI Advanced Computing Services for Research presented a webinar on Galaxy and Galaxy integration with the DataMiner service. 

The slides of the webinar are available here and the video here

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on 21 Jan 2019 12:00 AM
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On Monday 21st January at 10.00 CET the AGINFRA+ project will hold a webinar on Galaxy and Galaxy integration with the DataMiner service. 

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on 18 Jan 2019 12:00 AM
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On 12 December 2018, the Wageningen Data Competence Center – part of Wageningen University and Research – organised a one-day scientific symposium on FAIR Data Science for Green Life Sciences. The event focused on state-of-the-art knowledge in data science and data management, new applications in the green life sciences, and insights from other domains that could be transferred.

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on 13 Dec 2018 12:00 AM
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ABOUT THE PROJECT

OUR COMMUNITIES

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.

AGROCLIMATIC AND ECONOMIC MODELLING

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.

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FOOD SAFETY RISK ASSESSMENT

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.

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FOOD SECURITY

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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