Big Data and ecosystem research programmesRaffaelli, D., Bullock, J. M., Cinderby, S., Durance, I., Emmett, B., Harris, J., Hicks, K., Oliver, T. H., Paterson, D. and White, P. C. L. (2014) Big Data and ecosystem research programmes. In: Woodward, G., Dumbrell, A., Baird, D. and Hajibabaei, M. (eds.) Big Data in Ecology. Advances in Ecological Research, 51. Academic Press, pp. 42-74. ISBN 9780081004791 Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1016/B978-0-08-099970-8.00004-X Abstract/SummaryThe 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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