A Local-State Government Spatial Data Sharing Partnership

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A Local-State Spatial Data Sharing Partnership Model to Facilitate SDI Development With respect to the question on organisational change and restructuring, the LGAs reported some level of change, although no overall trends could be detected. Finally, the survey indicated a strong culture of continuing professional development and training in local government, with 71% of LGAs identifying they had the opportunity to update their skills through training, seminars or formal education. 6.2.8 Partnerships and Collaborations Part 7 of the questionnaire examined issues relating to collaborations and partnerships including existing relationships, barriers, motivations and preferred models. Collaboration Partners Local government collaboration was examined across a range of possible partners including state and federal government, private sector, academic institutions and local government associations/groups. Figure 6.14 summarises the average level of collaboration identified by local governments with each of the above agencies or organisations. A number of general trends were evident. Firstly, LGAs were most likely to collaborate with State governments, followed closely by the relevant state local government association or regional local government group. Level of Collaboration (0= very poor, 5 = very good) 5 4 3 2 1 0 QLD TAS State 176 VIC State Government Region of Councils Federal Govt Agencies NGOs Private Sector Academic Institutions Local Government Assoc Figure 6.14 Level of collaboration of LGAs with other organisations Secondly, the difference in the level of collaboration/co-operation of LGAs with the state governments in Tasmania and Victoria in comparison to Queensland was significant (p
Equality in Collaborations Chapter 6 – Results of Partnership Case Studies at Local Government Level When LGAs were asked who benefited most from partnerships or collaborations for sharing spatial data, the majority (64%) of LGAs indicated that there was approximately equal benefit to both partners. A further 23% of LGAs indicated that the other partner was gaining more from the partnership, whilst 13% identified that their LGA was the primary beneficiary. Again Queensland LGAs were more likely to indicate that the other partners were more likely to benefit more from the collaboration than their LGA. Need to Collaborate and Share Data There was strong overall agreement amongst the three states (73%) that the exchange or sharing of spatial data was necessary for local governments to effectively carry out their business, with only 2% of respondents disagreeing. Barriers to Collaboration The responses by LGAs with respect to the importance or otherwise of a range of potential barriers or obstacles for collaborating with state government agencies for spatial data sharing arrived at the ranking of issues in Figure 6.15. The highest ranking issues identified by LGAs were legal liability, data standards, accessing of data, copyright and privacy. Importance as Barrier (0= not important, 5 = very important) 4 3 2 1 0 Legal liability Data standards Finding/access Copyright Privacy 177 Cost/price Management support ITC infrastructure Trust/goodwill Time and effort Data sets not equal Figure 6.15 Ranking of barriers for LGA participation in data sharing The issue of legal liability was raised a number of times previously by LGAs as an obstacle for making their data more freely available to the community. LGAs seemed to be less concerned with the cost of data, management support, their level of ICT infrastructure, trust/goodwill, time required to support the collaboration and the equal
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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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Page 143 and 144: Data Exchange Process Chapter 5 - R
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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
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Appendix 1 - Publications Relating
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Appendix 1 - Publications Relating
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Appendix 2 - Semi Structured Interv
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Appendix 2 - Semi Structured Interv
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Appendix 3 257 Appendix 3 - Local G
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259 Appendix 3 - Local Government Q
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Part 1 - Your Organisation 261 Appe
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Q4e: The costs to acquire State gov
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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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