A Network Perspective on Spatial Data Infrastructures: Application to the Sub‐national SDI of Flanders (Belgium)

Vandenbroucke, Danny; Crompvoets, Joep; Vancauwenberghe, Glenn; Dessers, Ezra; Orshoven, Jos Van

doi:10.1111/j.1467-9671.2009.01166.x

Cited by 40 publications

(40 citation statements)

References 16 publications

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“…SNA has generally been applied for examining data sharing among institutions with an exclusive focus on individual behaviors (Paudya et al 2012;Vandenbroucke et al 2009;Van Oort et al 2010). However, there have also been studies that seek to expand the focus and analyze the collective behavior for sharing spatial data, as in the case of Omran and Van Etten (2007).…”

Section: Social Network Analysis (Sna) For Sdimentioning

confidence: 98%

“…Omran and Van Etten (2007) In addition to the calculation of metrics and the visualizations of networks, the authors also used SNA as a basis to generate process flows that assessed how various types of data flow among various decision makers (Vandenbroucke et al 2009) or to generate an actor usage diagram model using UML (Unified Modeling Language) (Paudya et al 2012). …”

Section: Social Network Analysis (Sna) For Sdimentioning

confidence: 99%

“…According to Vandenbroucke et al (2009), business flows can be defined based on the process flows of data sharing in a network. The characteristics of each data flow were mapped as a representation of access.…”

Section: Social Network Analysis (Sna) For Sdimentioning

confidence: 99%

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Towards a spatial data infrastructure for technological disasters: an approach for the road transportation of hazardous materials

et al. 2015

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Spatial data have been used for the environmental monitoring of the consequences of accidents that involve the transportation of hazardous chemical products. This spatial data infrastructure (SDI), which was created for the sharing and use of spatial data, is limited by the absence of policies to support its establishment. The main objective of this study was to explore the use of social network analysis (SNA) as a tool to identify spatial data sharing between organizations involved in the management of accidents related to road transport of hazardous materials (RTHM). In addition, to discuss the existing policies and institutional agreements, and to initiate a conceptual SDI framework for RTHM sector. In this context, the institutions that are involved with RTHM were identified and information concerning their interest in the use and sharing of spatial data via a SDI was collected through interviews and consolidated. The interviews were at 39 institutions with representative employees. The interview data were tabulated and entered into the UCINET software (2000 version) to calculate metrics of centrality. From the SNA, the flow of data among the participating institutions was identified through the visual representation of the spatial data sharing and use networks. Subsequently, the existing institutional agreements for spatial data sharing were analyzed and discussed. The compiled results enabled the proposal of a conceptual SDI framework to support the management of disasters involving RTHM, based on the application of SNA theory, and the development of a methodology that supports the analysis of interactions among the various actors of an SDI. The purpose is to facilitate the formulation of policies for the sharing of spatial data for decision-making and preventive disaster management. The results indicate that the 39 institutions share spatial data, but this sharing is not always predetermined by formal agreements. Furthermore, there is a strong demand, by the institutions involved in the management of RTHM accidents, regarding legal mechanisms governing the sharing of data for the purpose of producing maps that help to describe actions of preparedness, prevention, management and immediate relief involving RTHM incidents. Finally, it was possible to propose a conceptual framework with data that is considered essential for creating an SDI for RTHM.

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Section: Social Network Analysis (Sna) For Sdimentioning

confidence: 98%

Section: Social Network Analysis (Sna) For Sdimentioning

confidence: 99%

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Towards a spatial data infrastructure for technological disasters: an approach for the road transportation of hazardous materials

et al. 2015

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“…it is based on the infrastructures established and operated by the Member States. In the same way, these national SDIs could be built including other infrastructures developed at sub-national levels, also as a hierarchy (Rajabifard et al, 2000(Rajabifard et al, , 2003 or as a connected network (Vandenbroucke et al, 2009).…”

Section: Related European Directivesmentioning

confidence: 99%

Spatial Data Infrastructures for environmental e-government services: The case of water abstractions authorisations

Latre¹,

López-Pellicer²,

Nogueras-Iso³

et al. 2013

Environmental Modelling & Software

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Environment-related authorisations are a relevant issue for environmental management. They require a considerable effort by the authorities, and this might result in substantial delays for the citizens. Implementing those authorisation processes by means of e-government services would improve efficiency and, consequently, citizen satisfaction. Environment-related authorisations usually require a variety of geospatial information, and have to deal with administrative areas which do not match physical and ecological ones. They also have to integrate heterogeneous information in different formats, data models and languages, and provided by distinct organisations, even from different countries. This paper discusses how Spatial Data Infrastructures (SDIs) can deal with these problems in the environmental domain, while improving the level of service provision in terms of e-government applications. This is even more relevant within the European Union where there is a legal mandate to establish an SDI to support environmental policies and activities with an impact on the environment. As a proof-of-concept, an application to request and manage water abstraction authorisations, based on an SDI, is demonstrated. This application is part of SDIGER, a cross-border inter-administration SDI to support the water framework directive information access for the Adour-Garonne and Ebro River basins, that was a pilot project for the EU INSPIRE Directive. The introduction of this transactional e-government service modifies the administrative process of granting authorisations: it allows to re-use the effort in data capture made by the applicants in their requests, facilitates the submission of more feasible applications and reduces the workload of the office staff.

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“…Since the mid)1990s, the development of Spatial Data Infrastructures (SDI) matches the urgent need expressed at the international level to facilitate access, exchange and sharing of geographical information held by different producers in order to maximize their use, management and production (Crompvoets et al, 2004). A SDI can be defined as a set of technological and non)technological components (Rajabifard et al, 2002) constituting an intra and inter)organizational network (Vandenbroucke et al, 2009) contributing to broader goals such as economic development, social stability, good governance and sustainable management of the environment (Williamson et al, 2003, Masser, 2010. The development and implementation of SDIs at multiple levels (Rajabifard et al, 2006) and the resulting geographical information flows should provide a favourable context for land management and planning.…”

mentioning

confidence: 99%

A modelling framework for the study of Spatial Data Infrastructures applied to coastal management and planning

Georis-Creuseveau

Claramunt

Gourmelon

2016

International Journal of Geographical Information Science

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International audienceThe continuous development of Spatial Data Infrastructures (SDI) provides a favourable context for environmental management and planning. However, it appears that the actual contribution of SDIs should also depend on the correlation between users’ expectations and the services delivered to them. Several studies have addressed some organizational, methodological and technological aspects of the development of SDIs. However, only a few studies have, to the best of our knowledge, studied SDI use at large. This article introduces a methodological approach oriented towards the study of the relationship between SDIs and the users interacting with them as part of their professional practices. Our study is applied to coastal zone management and planning in France. This approach combines structural and data flow modelling. The former is based on Social Network Analysis (SNA) and the latter on Data Flow Diagrams (DFD). This modelling approach has been applied to an online questionnaire and semi-structured interviews. The results identify the SDIs, geographical data flows and institutional levels implied in French coastal zone management and planning

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A Network Perspective on Spatial Data Infrastructures: Application to the Sub‐national SDI of Flanders (Belgium)

Cited by 40 publications

References 16 publications

Towards a spatial data infrastructure for technological disasters: an approach for the road transportation of hazardous materials

Towards a spatial data infrastructure for technological disasters: an approach for the road transportation of hazardous materials

Spatial Data Infrastructures for environmental e-government services: The case of water abstractions authorisations

A modelling framework for the study of Spatial Data Infrastructures applied to coastal management and planning

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