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dc.contributor.authorMCDOUGALL, KEVINen_US
dc.contributor.authorRAJABIFARD, ABBASen_US
dc.contributor.authorWilliamson, Ian Philipen_US
dc.date.accessioned2014-05-21T19:43:14Z
dc.date.available2014-05-21T19:43:14Z
dc.date.issued2007en_US
dc.identifier.citationMcDougall, K., Rajabifard, A., & Williamson, I. P. (2007). A mixed method approach for evaluating spatial data sharing partnerships for Spatial Data Infrastructure development . In H. Onsrud (Ed.), Research and theory in advancing Spatial Data Infrastructure concepts (pp. 55-73). ESRI Press, Redlands, California.en_US
dc.identifier.urihttp://hdl.handle.net/11343/26674
dc.descriptionISBN 978-1-58948-162-6en_US
dc.descriptionThis article from Research and Theory in Advancing Spatial Data Infrastructure Concepts (ed. Harlan Onsrud; Redlands, CA: ESRI Press, 2007) is made available under a Creative Commons License, Attribution 2.5 (http://creativecommons.org/licenses/by/2.5/legalcode).en_US
dc.description.abstractIn recent years interjurisdictional partnerships have emerged as an importantmechanism for establishing an environment conducive to data sharing and hencethe facilitation of SDI development. However, unless the partnership arrangementsare carefully designed and managed to meet the business objectives of eachpartner, 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 relevantissues for researching these new data sharing partnerships and their relationshipsto SDI development. This paper proposes a research methodology forinvestigating both the organisational context of data sharing partnerships andthe factors that contribute to the success of interjurisdictional data sharing initiatives.The paper examines past research and theory in spatial data sharingand examines the characteristics of a number of existing data sharing modelsand frameworks. The use of a mixed-method approach to evaluate local-stategovernment partnerships in Australia is described. Finally, the validationof the mixed-method approach and its generalisation to other SDI and datasharing initiatives is discussed.en_US
dc.languageengen_US
dc.publisherESRI Press, Redlands, California.en_US
dc.titleA mixed method approach for evaluating spatial data sharing partnerships for Spatial Data Infrastructure developmenten_US
dc.typeBook Chapteren_US
melbourne.peerreviewPeer Revieweden_US
melbourne.affiliationThe University of Melbourneen_US
melbourne.affiliation.departmentFaculty of Engineering, Geomaticsen_US
melbourne.publication.statusPublisheden_US
melbourne.source.titleResearch and theory in advancing Spatial Data Infrastructure conceptsen_US
melbourne.source.pages55-73en_US
melbourne.source.editorOnsrud, Harlanen_US
melbourne.elementsidNA
melbourne.contributor.authorMCDOUGALL, KEVIN
melbourne.contributor.authorRajabifard, Abbas
melbourne.contributor.authorWilliamson, Ian
melbourne.accessrightsOpen Access


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