Big Data and Ecosystem Research Programmes

Dave Raffaelli; James M. Bullock; Steve Cinderby; Isabelle Durance; Bridget Emmett; Jim Harris; Kevin Hicks; Tom H. Oliver; Dave Paterson; Piran C.L. White

doi:10.1016/B978-0-08-099970-8.00004-X

Big Data and Ecosystem Research Programmes

Dave Raffaelli^*, James M. Bullock, Steve Cinderby, Isabelle Durance, Bridget Emmett, Jim Harris, Kevin Hicks, Tom H. Oliver, Dave Paterson, Piran C.L. White

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

15 Citations (Scopus)

Abstract

The size and complexity of data sets generated within ecosystem-level programmes merits their capture, curation, storage and analysis, synthesis and visualisation using Big Data approaches. This review looks at previous attempts to organise and analyse such data through the International Biological Programme and draws on the mistakes made and the lessons learned for effective Big Data approaches to current Research Councils United Kingdom (RCUK) ecosystem-level programmes, using Biodiversity and Ecosystem Service Sustainability (BESS) and Environmental Virtual Observatory Pilot (EVOp) as exemplars. The challenges raised by such data are identified, explored and suggestions are made for the two major issues of extending analyses across different spatio-temporal scales and for the effective integration of quantitative and qualitative data.

Original language	English
Pages (from-to)	41-77
Number of pages	37
Journal	Advances in Ecological Research
Volume	51
DOIs	https://doi.org/10.1016/B978-0-08-099970-8.00004-X
Publication status	Published - 1 Jan 2014

Keywords

Complexity
Interdisciplinarity
Platforms
Scale
Visualisation

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10.1016/B978-0-08-099970-8.00004-X

Cite this

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AU - Bullock, James M.

AU - Cinderby, Steve

AU - Durance, Isabelle

AU - Emmett, Bridget

AU - Harris, Jim

AU - Hicks, Kevin

AU - Oliver, Tom H.

AU - Paterson, Dave

AU - White, Piran C.L.

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AB - The size and complexity of data sets generated within ecosystem-level programmes merits their capture, curation, storage and analysis, synthesis and visualisation using Big Data approaches. This review looks at previous attempts to organise and analyse such data through the International Biological Programme and draws on the mistakes made and the lessons learned for effective Big Data approaches to current Research Councils United Kingdom (RCUK) ecosystem-level programmes, using Biodiversity and Ecosystem Service Sustainability (BESS) and Environmental Virtual Observatory Pilot (EVOp) as exemplars. The challenges raised by such data are identified, explored and suggestions are made for the two major issues of extending analyses across different spatio-temporal scales and for the effective integration of quantitative and qualitative data.

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KW - Interdisciplinarity

KW - Platforms

KW - Scale

KW - Visualisation

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Big Data and Ecosystem Research Programmes

Abstract

Keywords

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