2012
DOI: 10.1068/b38006
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The Socioeconomic Impact of the Spatial Data Infrastructure of Lombardy

Abstract: In this paper we present the findings of a study undertaken by the Joint Research\ud Centre of the European Commission in collaboration with the regional authority of\ud Lombardy, in northern Italy, on the socioeconomic impact of the spatial data infrastructure\ud (SDI) of that region. The study took place in 2009 and focused primarily on assessing the\ud benefits of the SDI to the organisations outside public administration, that is, developers\ud and consultants involved in planning, design, and impact asses… Show more

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Cited by 31 publications
(13 citation statements)
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References 5 publications
(8 reference statements)
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“…Private sectors have a role in geospatial data acquisition and development of geospatial applications. Most private sector institutions include survey and mapping companies (9), which obtain projects from government institutions. Their position is somewhat above that of geospatial application developers (10) and GIS software providers (11), because they participate in geospatial data provision for the NSDI.…”
Section: Categorization Of Nsdi Stakeholdersmentioning
confidence: 99%
See 1 more Smart Citation
“…Private sectors have a role in geospatial data acquisition and development of geospatial applications. Most private sector institutions include survey and mapping companies (9), which obtain projects from government institutions. Their position is somewhat above that of geospatial application developers (10) and GIS software providers (11), because they participate in geospatial data provision for the NSDI.…”
Section: Categorization Of Nsdi Stakeholdersmentioning
confidence: 99%
“…An NSDI is a framework of technology, standards, policy, and collaboration of different institutions to ensure national access, exchange, and utilization of spatial data [1,7]. Application of an NSDI can have positive influences on the social, environmental, and economic aspects of a country [8][9][10].…”
Section: Introductionmentioning
confidence: 99%
“…rapid, up-to-date and dynamic information (Wiemann and Bernard, 2014). As a result, this integration can benefit NMAs, administrators of VGI projects and end users, with consequent socio-economic impacts (Campagna and Craglia, 2012). In particular, NMAs may have a real opportunity to use crowdsourced data to update some of their databases when the update is not done by them regularly due to the high costs involved or to add new data that are not available to them .…”
Section: Integration For Supporting Conventional Spatial Tasksmentioning
confidence: 99%
“…rapid, up-to-date and dynamic information (Wiemann and Bernard, 2014). As a result, this integration can benefit NMAs, administrators of VGI projects and end users, with consequent socio-economic impacts (Campagna and Craglia, 2012). In particular, NMAs may have a real opportunity to use crowdsourced data to update some of their databases when the update is not done by them regularly due to the high costs involved or to add new data that are not available to them (Coleman et al, 2009).…”
Section: Integration For Supporting Conventional Spatial Tasksmentioning
confidence: 99%