Analysis of Big Data technologies for use in agro-environmental science

Research output: Contribution to journalArticleAcademicpeer-review

34 Citations (Scopus)

Abstract

Recent developments like the movements of open access and open data and the unprecedented growth of data, which has come forward as Big Data, have shifted focus to methods to effectively handle such data for use in agro-environmental research. Big Data technologies, together with the increased use of cloud based and high performance computing, create new opportunities for data intensive science in the multi-disciplinary agro-environmental domain. A theoretical framework is presented to structure and analyse data-intensive cases and is applied to three case studies, together covering a broad range of technologies and aspects related to Big Data usage. The case studies indicate that most persistent issues in the area of data-intensive research evolve around capturing the huge heterogeneity of interdisciplinary data and around creating trust between data providers and data users. It is therefore recommended that efforts from the agro-environmental domain concentrate on the issues of variety and veracity.

LanguageEnglish
Pages494-504
JournalEnvironmental Modelling & Software
Volume84
DOIs
Publication statusPublished - 2016

Fingerprint

analysis
environmental science
Big data
environmental research
science
method

Keywords

  • Agriculture
  • Big Data
  • Data integration
  • Forestry
  • Interdisciplinary research
  • Semantics

Cite this

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title = "Analysis of Big Data technologies for use in agro-environmental science",
abstract = "Recent developments like the movements of open access and open data and the unprecedented growth of data, which has come forward as Big Data, have shifted focus to methods to effectively handle such data for use in agro-environmental research. Big Data technologies, together with the increased use of cloud based and high performance computing, create new opportunities for data intensive science in the multi-disciplinary agro-environmental domain. A theoretical framework is presented to structure and analyse data-intensive cases and is applied to three case studies, together covering a broad range of technologies and aspects related to Big Data usage. The case studies indicate that most persistent issues in the area of data-intensive research evolve around capturing the huge heterogeneity of interdisciplinary data and around creating trust between data providers and data users. It is therefore recommended that efforts from the agro-environmental domain concentrate on the issues of variety and veracity.",
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author = "Rob Lokers and Rob Knapen and Sander Janssen and {van Randen}, Yke and Jacques Jansen",
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Analysis of Big Data technologies for use in agro-environmental science. / Lokers, Rob; Knapen, Rob; Janssen, Sander; van Randen, Yke; Jansen, Jacques.

In: Environmental Modelling & Software, Vol. 84, 2016, p. 494-504.

Research output: Contribution to journalArticleAcademicpeer-review

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AU - Janssen, Sander

AU - van Randen, Yke

AU - Jansen, Jacques

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