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Evaluating the D4Science virtual research environment platform for agro-climatic research

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  • Knapen, Rob
  • Lokers, Rob
  • Janssen, Sander

Abstract

From its early beginnings the Internet has been used by scientists to collaborate and share information about their research. Increasing connectivity and networking capabilities have resulted in improved collaboration functionalities ultimately combined in complete virtual research environments (VRE) as a type of virtual laboratories. These aim at providing collaborative online workplaces with access to all needed tools, data, and computing resources, and supporting data sharing. Since each research domain has its own characteristics, requirements, and preferred tooling, VRE providers must make trade-offs between the specificity of components and the functionality provided. The D4Science VRE adopts a modular approach based on open standards for constructing VREs for interested communities. The agro-climatic science domain develops diverse analytical tools that it connects to heterogenous data sources (i.e. climate data, experimental fields, satellite data, soil samples) originating from other domains, which is often poorly standardised and sparsely interlinked at best.

Suggested Citation

  • Knapen, Rob & Lokers, Rob & Janssen, Sander, 2023. "Evaluating the D4Science virtual research environment platform for agro-climatic research," Agricultural Systems, Elsevier, vol. 210(C).
  • Handle: RePEc:eee:agisys:v:210:y:2023:i:c:s0308521x23001117
    DOI: 10.1016/j.agsy.2023.103706
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    References listed on IDEAS

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    1. Wolfert, Sjaak & Ge, Lan & Verdouw, Cor & Bogaardt, Marc-Jeroen, 2017. "Big Data in Smart Farming – A review," Agricultural Systems, Elsevier, vol. 153(C), pages 69-80.
    2. Mark W. Maier, 1998. "Architecting principles for systems‐of‐systems," Systems Engineering, John Wiley & Sons, vol. 1(4), pages 267-284.
    3. de Wit, Allard & Boogaard, Hendrik & Fumagalli, Davide & Janssen, Sander & Knapen, Rob & van Kraalingen, Daniel & Supit, Iwan & van der Wijngaart, Raymond & van Diepen, Kees, 2019. "25 years of the WOFOST cropping systems model," Agricultural Systems, Elsevier, vol. 168(C), pages 154-167.
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