Big Data and ecosystem research programmes

Raffaelli, Dave, Bullock, James M., Cinderby, Steve, Durance, Isabelle ORCID: https://orcid.org/0000-0002-4138-3349, Emmett, Bridget, Harris, Jim, Hicks, Kevin, Oliver, Tom H., Paterson, Dave and White, Piran C.L. 2014. Big Data and ecosystem research programmes. Advances in Ecological Research 51 , pp. 41-77. 10.1016/B978-0-08-099970-8.00004-X

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Abstract

he 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.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Biosciences
Uncontrolled Keywords:	Complexity; Scale; Platforms; Interdisciplinarity; Visualisation
Publisher:	Elsevier
ISSN:	0065-2504
Last Modified:	27 Oct 2022 10:25
URI:	https://orca.cardiff.ac.uk/id/eprint/70043

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