In this paper, a multiple V model is applied to analyze and benchmark the performances of an institutional information system with respect to the adoption of the big data paradigm in environmental management and planning. We look at a specific case study, that of the Regional Environmental Information System (REIS) of Sardinia (Italy), which is publicly managed and includes large data sets arranged into a series of “thematic modules” interlinked by means of an overarching cross-thematic analysis and reporting tool. We focus on the perspectives of the REIS with respect to inter/multi-operability, spatial and temporal retrieval distributi

Big data perspectives: Adoption of a regional environmental information system.

Lai Sabrina
Co-primo
;
2018-01-01

Abstract

In this paper, a multiple V model is applied to analyze and benchmark the performances of an institutional information system with respect to the adoption of the big data paradigm in environmental management and planning. We look at a specific case study, that of the Regional Environmental Information System (REIS) of Sardinia (Italy), which is publicly managed and includes large data sets arranged into a series of “thematic modules” interlinked by means of an overarching cross-thematic analysis and reporting tool. We focus on the perspectives of the REIS with respect to inter/multi-operability, spatial and temporal retrieval distributi
2018
978-1-138-28218-6
Big data; Environmental datasets; Regional planning
File in questo prodotto:
File Dimensione Formato  
2018_Schintler_Chen_eds_BigData.pdf

Solo gestori archivio

Descrizione: pdf
Tipologia: versione editoriale (VoR)
Dimensione 8.82 MB
Formato Adobe PDF
8.82 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/236655
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact