A Local-State Government Spatial Data Sharing Partnership

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A Local-State Spatial Data Sharing Partnership Model to Facilitate SDI Development Data sharing partnerships is worthwhile 22.983 2 .000 Data sharing has improved quality 35.478 2 .000 Believe that the benefits are equal 14.797 2 .001 Believe that the efforts are equal 8.327 2 .016 Are provided updated data regularly 33.190 2 .000 Communication frequency 24.568 2 .000 Overall level of satisfaction 17.726 2 .000 a Kruskal Wallis Test b Grouping Variable: State as number 300
APPENDIX 6 FACTOR ANALYSIS 301 Appendix 6 – Factor Analysis Appendix 6 – Factor Analysis
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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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% of LGAs For Each State 60.0% 40.0
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195 Chapter 7 - Model Development a
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7.1 Introduction 197 Chapter 7 - Mo
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7.3 The Data Sharing Partnership Mo
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Partnership Management Partnership
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Performance Monitoring 209 Chapter
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7.4.4 Assessment of the Outcome Com
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SDI Component - Standards Access Ne
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223 Conclusions and Implications 8
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8.1 Introduction 225 Conclusions an
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227 Conclusions and Implications 8.
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229 Conclusions and Implications ca
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231 Conclusions and Implications pa
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References 233 References Reference
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235 References Cameron, D 2001, 'Th
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237 References Department of Foreig
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239 References Hesse, WJ & Williams
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241 References Masser, I 2002, Repo
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243 References Onsrud, HJ & Rushton
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Tashakkori, A & Teddlie, C (eds) 20
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247 References
Page 267 and 268: Appendix 1 - Publications Relating
Page 269 and 270: Appendix 1 - Publications Relating
Page 271 and 272: Appendix 2 - Semi Structured Interv
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Page 275 and 276: Appendix 3 257 Appendix 3 - Local G
Page 277 and 278: 259 Appendix 3 - Local Government Q
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
Page 291 and 292: Appendix4 - Open Ended Questionnair
Page 307 and 308: 54 Provision of Aerial photos at a
Page 311 and 312: APPENDIX 5 293 Appendix 5 - Inter-S
Page 313 and 314: ANOVA ANALYSIS 295 Appendix 5 - Int
Page 315 and 316: 297 Appendix 5 - Inter-State Differ
Page 317: Kruskal Wallis Test Statistics(a,b)
Page 321 and 322: Communalities 303 Appendix 6 - Fact
Page 323 and 324: 305 Component Matrix(a) Component A
Page 325 and 326: APPENDIX 7 307 Appendix 7 - Correla
Page 327 and 328: Size_Index Org_support Ext_access_p
Page 329 and 330: APPENDIX 8 311 Appendix 8 - Multipl
Page 331 and 332: Variables Entered/Removed(b) Model
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A Local-State Government Spatial Data Sharing Partnership

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