A Local-State Government Spatial Data Sharing Partnership

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A Local-State Spatial Data Sharing Partnership Model to Facilitate SDI Development examine the trends in the relationships between the factor components. The highlighted cells identify correlations significant at 0.01 level (2-taliled). The full correlation analysis is listed in Appendix 7. FACTORS Size Size 1 Organisational Support Table 6.5 Bivariate correlations of factor components Data maturity and Access Internal Data Accessibility Access to state data Concerns on data restrictions Organisational Support .407 (**) 1 Data maturity and Access .641 (**) .516 (**) 1 Internal Data Accessibility .431 (**) .663 (**) .642 (**) 1 Access to state data .044 .084 .108 .106 1 Concerns on data restrictions -.208 (*) -.165 -.264 (**) -.119 -.181 1 Standards and Metadata .217 (*) .345 (**) .099 .247 (*) -.136 .020 1 Use of State Data and Restrictions .027 .119 .101 .149 .578 (**) -.017 -.010 1 Organisational Change .252 (*) -.003 -.047 -.029 .052 .075 -.063 -.014 1 Staff Growth and Development .378 (**) .324 (**) .249 (*) .250 (*) .060 .010 .196 (*) .003 .397 (**) 1 Business Needs -.311 (**) -.142 -.264 (**) -.241 (*) -.032 .151 .026 .084 .015 .073 1 External Access Policies -.082 -.009 -.036 -.011 -.110 -.067 .107 -.099 .046 -.012 -.024 1 Length of Collaboration .091 -.007 .013 -.013 .054 -.118 .048 -.020 .076 .111 -.017 -.065 1 ** Correlation is significant at the 0.01 level (2-tailed). * Correlation is significant at the 0.05 level (2-tailed). The size factor has a positive correlation (significant at 0.01 level) with organisational support, external access mechanisms, internal data sharing and staff development indices. This would tend to indicate that the size of the LGA may be a useful indicator of the organisation’s stage of development with respect to policies on information use and provision of data to external users. It also indicates that larger LGAs have significantly higher capacity to provide staff development and training, which is important in implementing partnerships initiatives. Therefore, prospective state government partners may need to consider training and capacity building for small LGAs involved in a partnership. However, there is also a significant negative correlation between the size factor and the business needs factor which indicates that the larger the LGA, the less 190 Standards and Metadata reliant they are on the supply of state government data. Use of State Data and Restrictions Organisational Change Staff Growth and Development Business Needs External Access Policies Length of Collaboration
Chapter 6 – Results of Partnership Case Studies at Local Government Level The size factor also illustrated correlations (significant at 0.05 level) with concerns on data issues (privacy, copyright etc), the value of standards and the degree of organisational change. These results indicate that larger LGAs have a greater capacity and requirement to implement policies or procedures on the use and management of data. It is hypothesised that as the size of the LGA increases, so does the demand by external organisations for their data. This then requires greater effort by the organisation to improve their data quality, implement standards to assist in the exchange of data and create information policies to control its use. The moderate level of correlation between size and the degree of organisational change is indicative of the continuing level of organisational restructuring that has been happening at both state and local government levels in the past 5-10 years. The organisational support factor shows significant positive correlation (0.01 level) with the data maturity/access, internal sharing, recognition of standards and staff development. The organisational support factor includes a variety of related variables including ICT capacity, management support for GIS and the use of spatial information within the organisation. The correlations illustrate that a supportive organisational environment for the development of new technologies and systems like GIS, can lead to more mature systems and improved internal access to information. These findings are supported by a number of individual LGA comments that suggested that the internal GIS has become recognised as an important part of the whole ICT strategy of the organisation. It was also identified that approximately 60% of all GIS units within LGAs now reside within the corporate services or IT division of LGA, which is another indicator of the growing corporate utility of spatial information. The strong correlation between the organisational support factor and internal data sharing factor indicates that strong organisational support for ICT and GIS encourages the wider utilisation of information systems, and hence data sharing within the organisation. The data also suggests that strong organisational support for ICT results in a greater recognition of the importance of data standards and staff development. The data accessibility/maturity factor represents the capacity of LGAs to provide external access to their spatial data and the level of maturity of the spatial data. The correlations indicate that as LGAs’ spatial information systems develop and mature, spatial information becomes more widely available both across the organisation and external to the organisation. The correlation between the data accessibility/maturity factor and the business needs factor indicates a growing reliance on spatial information for business purposes. Finally, the strong relationship between the access to state data and the 191
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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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Page 227 and 228: Performance Monitoring 209 Chapter
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Page 253 and 254: 235 References Cameron, D 2001, 'Th
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Page 257 and 258: 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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