A Local-State Government Spatial Data Sharing Partnership

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A Local-State Spatial Data Sharing Partnership Model to Facilitate SDI Development outcomes of spatial data sharing partnerships. Therefore, an appropriate evaluation of the both the jurisdictional and institutional environments should improve future partnership strategies, outcomes and sustainability. 8.5 Recommendations for Further Research As an outcome of this research it is recommended that future research efforts could be directed in the following areas. Firstly, the developed model identified the need for monitoring the performance of spatial data sharing partnerships. The scope of this research did not enable the further investigation into the best methods or measures for monitoring data sharing initiatives. Therefore, it is suggested that the investigation of appropriate metrics for measuring the performance of partnerships and methodologies for the implementation of these measures would provide a useful contribution for building more efficient and effective data sharing partnerships. Secondly, sub-national initiatives for building SDIs will continue to be a focus for governments and the private sector organisations around the world in the future. Although sub-national government structures are generally hierarchical in nature, spatial data sharing, and hence SDI development, do not appear to fit neatly within this hierarchal framework. It would therefore be valuable to explore the extent to which hierarchical government environments contribute to different components of SDI development. Are less structured models of SDI development appropriate at the sub-national level? What is the role of the private sector in building the SDI at these levels and how can their contributions be better recognised? Finally, the local government analysis indicated the increasing usage of web mapping and e-business activities by the medium and larger LGAs. Indications are that these portals have had a significant impact on the delivery of services to their external clients. The quantification of these improvements at local government level may provide a useful research test-bed for examining the impact of SDI development on business and the community. These findings may provide further evidence to support the spatial enablement of government at other levels. 8.6 Final Remarks The spatial data infrastructure in Australia and many other countries is contributing positively to the delivery of government services, improved decision-making and the creation of business opportunities for the private sector. Spatial data sharing and the 230
231 Conclusions and Implications partnership initiatives that facilitate data sharing are essential to SDIs achieving their full potential. Sub-national datasets are now the focus of the next generation of SDI development efforts and the challenges which they present are significant. The findings from this research and the partnership model developed have the potential to improve the success and outcomes of future spatial data sharing initiatives and hence benefit governments, businesses and the community.
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A Local-State Government Spatial Da
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Abstract In the past decade efforts
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Acknowledgements Completion of a Ph
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Table of Contents DECLARATION .....
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APPENDIX 5 - INTER-STATE DIFFERENCE
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FIGURE 6.7 USE OF WEB MAPPING .....
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List of Acronyms ACT AUSTRALIAN CAP
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Operational Definitions The followi
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1 Chapter 1 Introduction Chapter 1
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1.1 Background to Research 3 Chapte
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5 Chapter 1 - Introduction is havin
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7 Chapter 1 - Introduction enforcem
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9 Chapter 1 - Introduction The rese
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11 Chapter 1 - Introduction organis
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13 Chapter 1 - Introduction three c
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15 Chapter 2 - Spatial Data and SDI
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2.1 Introduction 17 Chapter 2 - Spa
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2.2.6 Property Information as a Fun
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Chapter 3 - Collaboration, Partners
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3.1 Introduction Chapter 3 - Collab
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Dimensions Actors Lower ranking mem
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91 Chapter 4 - Research Design and
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4.1 Introduction 93 Chapter 4 - Res
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Chapter 5 - Results of Partnership
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5.1 Introduction Chapter 5 - Result
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Employees '000s 500.0 450.0 400.0 3
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Data Exchange Process Chapter 5 - R
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5.3.6 Key Outcomes Chapter 5 - Resu
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Employees '000s 60.0 50.0 40.0 30.0
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6.1 Introduction Chapter 6 - Result
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Percent 60.0% 50.0% 40.0% 30.0% 20.
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Equality in Collaborations Chapter
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Page 199 and 200: % of LGAs For Each State 60.0% 40.0
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Page 215 and 216: 7.1 Introduction 197 Chapter 7 - Mo
Page 219 and 220: 7.3 The Data Sharing Partnership Mo
Page 225 and 226: Partnership Management Partnership
Page 227 and 228: Performance Monitoring 209 Chapter
Page 233 and 234: 7.4.4 Assessment of the Outcome Com
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Page 243 and 244: 8.1 Introduction 225 Conclusions an
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Page 251 and 252: References 233 References Reference
Page 253 and 254: 235 References Cameron, D 2001, 'Th
Page 255 and 256: 237 References Department of Foreig
Page 257 and 258: 239 References Hesse, WJ & Williams
Page 259 and 260: 241 References Masser, I 2002, Repo
Page 261 and 262: 243 References Onsrud, HJ & Rushton
Page 263 and 264: Tashakkori, A & Teddlie, C (eds) 20
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Page 267 and 268: Appendix 1 - Publications Relating
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Page 271 and 272: Appendix 2 - Semi Structured Interv
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Page 275 and 276: Appendix 3 257 Appendix 3 - Local G
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Page 279 and 280: Part 1 - Your Organisation 261 Appe
Page 283 and 284: Q4e: The costs to acquire State gov
Page 285 and 286: Part 6 - About People 267 Appendix
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Appendix4 - Open Ended Questionnair
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54 Provision of Aerial photos at a
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APPENDIX 5 293 Appendix 5 - Inter-S
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ANOVA ANALYSIS 295 Appendix 5 - Int
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297 Appendix 5 - Inter-State Differ
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Kruskal Wallis Test Statistics(a,b)
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APPENDIX 6 FACTOR ANALYSIS 301 Appe
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Communalities 303 Appendix 6 - Fact
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305 Component Matrix(a) Component A
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APPENDIX 7 307 Appendix 7 - Correla
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Size_Index Org_support Ext_access_p
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APPENDIX 8 311 Appendix 8 - Multipl
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Variables Entered/Removed(b) Model
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A Local-State Government Spatial Data Sharing Partnership

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