Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 560585
Title Using Virtual Research Environments in Agro-Environmental Research
Author(s) Lokers, R.M.; Knapen, M.J.R.; Candela, L.; Hoek, S.B.; Meijninger, W.M.L.
Source In: Environmental Software Systems. - Springer (IFIP Advances in Information and Communication Technology ) - ISBN 9783030398149
Event ISESS 2020, Wageningen, 2020-02-05/2020-02-07
Department(s) Earth Observation and Environmental Informatics
Publication type Contribution in proceedings
Publication year 2020
Abstract Tackling some of the grand global challenges, agro-environmental research has turned more and more into an international venture, where distributed research teams work together to solve complex research questions. Moreover, the interdisciplinary character of these challenges requires that a large diversity of different data sources and information is combined in new, innovative ways. There is a pressing need to support researchers with environments that allow them to efficiently work together and co-develop research. As research is often data-intensive, and big data becomes a common part of a lot of research, such environments should also offer the resources, tools and workflows that allow to process data at scale if needed. Virtual research environments (VRE), which combine working in the Cloud, with collaborative functions and state of the art data science tools, can be a potential solution. In the H2020 AGINFRA+ project, the usability of the VREs has been explored for use cases around agro-climatic modelling. The implemented pilot application for crop growth modelling has successfully shown that VREs can support distributed research teams in co-development, helps them to adopt open science and that the VRE’s cloud computing facilities allow large scale modelling applications.
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