Understanding the motivations and capacity for SDI development from the local level
AuthorMCDOUGALL, K; RAJABIFARD, A
Source TitleProceedings of the 8th GSDI and FIG week conference
PublisherFIG (International Federation of Surveyors)
AffiliationEngineering: Department of Geomatics
Document TypeConference Paper
CitationsMCDOUGALL, K. & RAJABIFARD, A. (2005). Understanding the motivations and capacity for SDI development from the local level. Proceedings of the 8th GSDI and FIG week conference, FIG (International Federation of Surveyors).
Access StatusOpen Access
Local government is a rich source of accurate and detailed spatial information which is utilised not only at the local level but increasingly at other levels of government. To build the spatial data infrastructure (SDI) at a state and national level, the role of local governments and their motivation to participate in the sharing of spatial information must be better understood. Although institutional problems still present some of the greatest challenges in building multi-jurisdictional SDIs, the technical and physical capacity of the smaller jurisdictions can impact on their ability to participate with larger and usually better resourced jurisdictions. In recent years partnerships have emerged as a useful mechanism for establishing a framework and environment conducive to data sharing. However, unless the partnership arrangements are carefully designed and managed to meet the business objectives of each partner, then it is unlikely that they will be sustainable in the longer term. This paper outlines research being conducted on the factors that contribute to the success of local-state government partnerships initiatives. The research methodology, which consists of mixed method approach utilising case studies and a qualitative survey of local government experiences in partnerships arrangements will be discussed. Some initial results of the research will be presented and their possible implication to future partnership initiatives will be discussed.
KeywordsLocal government; state government; Spatial Data Infrastructures (SDI); data sharing; partnerships
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