A Local-State Government Spatial Data Sharing Partnership

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A Local-State Spatial Data Sharing Partnership Model to Facilitate SDI Development Q3e: Does your council provide external users with access to spatial data via the internet ie web mapping/GIS? � yes, please provide web address………………………………………………………. � no � under development Q3f: Recent developments in technology have made your Council’s data more accessible. � Strongly Disagree � Disagree � Neither � Agree � Strongly Agree Q3g: Making your council’s spatial data more accessible to external clients, through mechanisms such as the internet facilitates Council’s business. � Strongly Disagree � Disagree � Neither � Agree � Strongly Agree Other Comments: …………………………………………………………………………………………………………………… …………………………………………………………………………………………………………………… …………………………………………………………………………………………………………………… ………………………………………………………………………………….. Part 4 – Use of Spatial Data This part of the questionnaire will examine the acquisition and management of spatial data, particularly property related data. Q4a: How important is property related data (street address, valuation, lot/plan number, property ID and DCDB) to your organisation’s day to day business operations? � Not important � Marginally important � Neutral � Important � Very Important Q4b: Is all of your property information in digital form? � yes � more than 50% � less than 50% � none Q4c: Which of the following property related data sets does your organisation obtain from State government agencies? � valuation data � Digital Cadastral Database (DCDB) � topographic (contours or DEM) � digital orthophotos/aerial photos � planning related data � Other pleas specify……………………….. Q4d: State government property related data required by your organisation is easily sourced from the relevant state departments � Strongly Disagree � Disagree � Neither � Agree � Strongly Agree Comments…………………………………………………………………………. 264
Q4e: The costs to acquire State government data sets is acceptable 265 Appendix 3 - Local Government Questionnaire � Strongly Disagree � Disagree � Neither � Agree � Strongly Agree Q4f: Restrictions placed the use of data obtained from the State government agencies are acceptable � Strongly Disagree � Disagree � Neither � Agree � Strongly Agree Q4g: Which are the most common organisations requesting street address and property information? � state transport authorities � emergency services (fire, police and ambulance) � State lands and valuation departments � state health authorities � non-government agencies (NGOs) eg Landcare � developers or private industry � State local government and planning department � Other please specify……………………… Q4h: Approximately how many requests per month would you receive from State government agencies for property data? ………… Q4i: Describe the level of completeness/maturity of the following digital data: Data Set Non Existent Property address and lot/plan Valuation data Cadastral boundaries (DCDB) topography (contours or DTM) engineering assets (water, sewerage, roads, drainage) Planning related data –zoning, development control plans Community and related services – clubs, parks etc (1) Very Incomplete (2) Partially complete (3) Mostly complete (4) Fully complete (5) Other Comments: …………………………………………………………………………………………………………………… …………………………………………………………………………………………………………………… …………………………………………………………………………………………………………………… …………………………………………………………………………………..
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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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Page 233 and 234: 7.4.4 Assessment of the Outcome Com
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Page 241 and 242: 223 Conclusions and Implications 8
Page 243 and 244: 8.1 Introduction 225 Conclusions an
Page 245 and 246: 227 Conclusions and Implications 8.
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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
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 281: 263 Appendix 3 - Local Government Q
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 and 318: Kruskal Wallis Test Statistics(a,b)
Page 319 and 320: APPENDIX 6 FACTOR ANALYSIS 301 Appe
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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