Environmental management and planning imply the development of information-intensive processes. The increasing complexity of environmental issues and institutional apparatuses have spurred the need for designing and maintaining large data sets. This information is usually structured on the basis of given analysis requirements, typically concerning sectoral macro components such as air, water, and soil. The diffusion of the so-called big data has stimulated a rich debate on the opportunity to transition from traditional environmental information management systems to new and versatile architectures in principle not determined by fixed cognitive needs. The aim of this chapter is to develop an analytical framework on strengths and weaknesses related to the adoption of the big data paradigm in environmental management and planning, and to apply this framework to the Regional Environmental Information System (REIS) of Sardinia, Italy. The REIS, originally set up in the framework of measure 1.7 of the European Regional Development Fund (ERDF) Regional Operational Programme 2000-2006, includes large data sets arranged into a series of “thematic modules” (for instance on air, water, waste, soil, electromagnetic sources) interlinked by means of an overarching cross-thematic analysis and reporting tool, and it is currently being enriched by adding further thematic modules (on biodiversity and energy) and by implementing more sophisticated reporting tools. Our study focuses on the perspectives of the REIS (second edition) with respect to critical issues including inter/multi-operability, spatial and temporal retrieval distribution, and flexibility.
Big data and environmental management: the perspectives of the Regional Environmental Information System of Sardinia, Italy / De Montis A; Lai S; Sannio N; Cocco G. - (2016), pp. 468-473. ((Intervento presentato al convegno 9th International Conference on Innovation in Urban and Regional Planning tenutosi a Torino nel 14-15 settembre 2016.