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. The symposium brought together researchers and domain experts for discussion and exchange of ideas of the latest developments in data science as well as on the best practices within the green life sciences.
The Symposium adressed:
• Research data infrastructures, related to physical infrastructure, architecture and service layer design, data management, (high performance) computing tools and parallel processing methods.
• Data science and analytics, machine learning algorithms and applications, data driven hypothesis development and testing, pattern recognition, visualisation tools, predictive analytics.
• (Possible) applications in and cross-overs with the green life sciences.
• Secure data governance and data sharing with special attention to the protection of privacy and commercial interests.
• Critical reflection on ethics and impacts of data science and digitalisation.
The Wageningen Environmental Research Unit as AGINFRA+ project partner, presented some interesting information on the AGINFRA+ project and in particular, related to the Agro-climatic & Economic Modelling Community that the unit examines and to the progress of unit's pilot VRE.
AGINFRA+ aims to exploit core e-infrastructures such as EGI.eu, OpenAIRE, EUDAT and D4Science, towards the evolution of the AGINFRA data infrastructure, so as to provide a sustainable channel addressing adjacent but not fully connected user communities around Agriculture and Food.
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.
subscribe to our newsletter