Big data and ecosystem research programmes

Raffaelli, Dave; Bullock, James M. ORCID: https://orcid.org/0000-0003-0529-4020; Cinderby, Steve; Durance, Isabelle; Emmett, Bridget ORCID: https://orcid.org/0000-0002-2713-4389; Harris, Jim; Hicks, Kevin; Oliver, Tom H.; Paterson, Dave; White, Piran C.L.. 2014 Big data and ecosystem research programmes. Advances in Ecological Research, 51. 41-77. https://doi.org/10.1016/B978-0-08-099970-8.00004-X

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Abstract/Summary

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.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1016/B978-0-08-099970-8.00004-X
UKCEH and CEH Sections/Science Areas:	Emmett Pywell
ISSN:	0065-2504
Additional Keywords:	complexity, scale, platforms, interdisciplinarity, visualisation
NORA Subject Terms:	Ecology and Environment Data and Information
Date made live:	27 Apr 2016 11:26 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/513505

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