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.

    We have a manual that explains all the features 

Record number 507019
Title Analysis of Big Data technologies for use in agro-environmental science
Author(s) Lokers, Rob; Knapen, Rob; Janssen, Sander; Randen, Yke van; Jansen, Jacques
Source Environmental Modelling & Software 84 (2016). - ISSN 1364-8152 - p. 494 - 504.
DOI https://doi.org/10.1016/j.envsoft.2016.07.017
Department(s) Alterra - Earth informatics
Publication type Refereed Article in a scientific journal
Publication year 2016
Keyword(s) Agriculture - Big Data - Data integration - Forestry - Interdisciplinary research - Semantics
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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