A mixed method approach for evaluating spatial data sharing partnerships for SDI development

McDougall, Kevin and Rajabifard, Abbas and Williamson, Ian (2006) A mixed method approach for evaluating spatial data sharing partnerships for SDI development. In: GSDI 9 International Conference for Global Spatial Data Infrastructure: Spatial Information: Tool for Reducing Poverty, 3-11 Nov 2006, Santiago, Chile.

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In recent years inter-jurisdictional partnerships have emerged as an important mechanism for establishing an environment conducive to data sharing and hence the
facilitation of SDI development. However, unless the partnership arrangements are carefully designed and managed to meet the business objectives of each partner, it is
unlikely that they will be successful or sustainable in the longer term. The purpose of this paper is to focus on the methodological approaches and issues which arise when
researching these new data sharing partnerships and their relationships to SDI development. In this paper a research methodology is proposed to investigate both the organisational context of data sharing partnerships and the factors that contribute to the success of inter-jurisdictional data sharing initiatives. The paper examines past research and theory in spatial data sharing and examines the characteristics of a number of existing data sharing models and frameworks. A mixed method research
approach which combines both qualitative and quantitative methods using a case study strategy is then described. An example of the application of this methodological approach is then applied to the evaluation of local-state government
partnerships in order to understand their characteristics and success factors. Finally, the validation of the mixed methods approach and its generalisation to other SDI and
data sharing initiatives is discussed.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: No
Item Status: Live Archive
Additional Information: This conference paper is covered by the creative commons licence and can be freely distibuted by the authors see http://creativecommons.org/licenses/by/2.5/ and notation at end of the paper.
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information
Date Deposited: 11 Oct 2007 00:50
Last Modified: 02 Jul 2013 22:39
Uncontrolled Keywords: spatial data, SDI, mixed methods methodology, data sharing, partnerships
Fields of Research : 09 Engineering > 0909 Geomatic Engineering > 090903 Geospatial Information Systems
URI: http://eprints.usq.edu.au/id/eprint/1741

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