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Land administration systems are being modernised to streamline the cadastral data lodgement. However, in many jurisdictions, cadastral data are still stored as a flat file. This method of data storage has significant limitations in terms of effective access, management, query, and analysis of cadastral data. Therefore, this study elicited the requirements and proposed an approach to automate the cadastral data storage. The proposed approach was successfully implemented within the land registry organisation in Victoria, Australia and the database management system was rigorously tested. The outcomes can potentially contribute to the implementation of a similar data storage infrastructure in other jurisdictions. [ABSTRACT FROM AUTHOR]

Researchers on Spatial Data Infrastructure (SDI) widely agree on using tangible social-economic benefits of SDI to advocate development of SDI’s. However, identification of such benefits has proven to be difficult and time-consuming. Based on concepts from the fields of psychology and economics, this paper argues that advocacy for SDI should take the form of publicising the consequences as a result of failure to address SDI. The ability to quantify the costs of accessing spatial data in an environment operating without SDI is an alternative way of providing evidence of the benefits of SDI. This paper presents a model for estimating the costs of accessing spatial data based on a fuzzy logic and time-driven activity-based costing methodology. [ABSTRACT FROM PUBLISHER]