GIS plays an important role in an organization by ensuring efficiency, effectiveness and better spatial data management. It is used by a wide range of organizations that leverage location data for informed decision ma...GIS plays an important role in an organization by ensuring efficiency, effectiveness and better spatial data management. It is used by a wide range of organizations that leverage location data for informed decision making. The extent to which GIS is utilized in an organization should be audited to ensure monitoring and evaluation. This provides information that allows the organization to access and improve overall GIS performance. Existing applications like Slim GIM, URISA GIS CMM and PSD GMI are used to assess GIS maturity capability in an organization. While auditing is centered on a complete monitoring and evaluation of entire GIS system establishment, maturity capability applications are designed to assess organization’s ability to carry out specific GIS operations. These tools can however be time consuming and need to be calibrated for meaningful result and customized for different domains in order to meet user’s need. The focus of this paper is to develop a conceptual model for GIS audit. Through review of literature, four main categories of parameters that can be used for GIS audit were identified namely: Data quality, Software utilization, GIS competencies and Procedures. The parameters generally relate to the basic GIS components. For each of the category, a number of minor parameters have been identified. The conceptual framework will be a good basis for developing a GIS audit checklist.展开更多
A GIS audit framework is necessary considering the diverse nature of GIS with regard to components, applications and industry. In practice, checklists are generated during the audit process based on specific objective...A GIS audit framework is necessary considering the diverse nature of GIS with regard to components, applications and industry. In practice, checklists are generated during the audit process based on specific objectives. There is no standardized list of items that can be used as a reference. The purpose of this study was to develop a GIS audit framework as a foundation for GIS audits. The framework provides that comprehensive approach to various GIS aspects during the audit process. The design builds on a developed conceptual framework where most significant categories of GIS audit parameters namely data quality, software utilization, GIS competency and procedures (work flows) were identified. The study adopted a reductive model approach to simplify the complexity associated with each category of GIS audit parameter. The resultant audit elements for each category are organized in a matrix that forms an integral part of the framework. The columns comprise audit goal, audit questions and audit subjects as indicators which are qualitatively measured. The rows comprise the parameters (data quality, software utilization, personnel competency and procedure (workflows)). To use the framework, an auditor only needs to create an audit checklist that consists of particular parameters and indicators from the framework depending on audit objective. As part of an on-going research, the next step will involve validating the framework through a mock testing process.展开更多
文摘GIS plays an important role in an organization by ensuring efficiency, effectiveness and better spatial data management. It is used by a wide range of organizations that leverage location data for informed decision making. The extent to which GIS is utilized in an organization should be audited to ensure monitoring and evaluation. This provides information that allows the organization to access and improve overall GIS performance. Existing applications like Slim GIM, URISA GIS CMM and PSD GMI are used to assess GIS maturity capability in an organization. While auditing is centered on a complete monitoring and evaluation of entire GIS system establishment, maturity capability applications are designed to assess organization’s ability to carry out specific GIS operations. These tools can however be time consuming and need to be calibrated for meaningful result and customized for different domains in order to meet user’s need. The focus of this paper is to develop a conceptual model for GIS audit. Through review of literature, four main categories of parameters that can be used for GIS audit were identified namely: Data quality, Software utilization, GIS competencies and Procedures. The parameters generally relate to the basic GIS components. For each of the category, a number of minor parameters have been identified. The conceptual framework will be a good basis for developing a GIS audit checklist.
文摘A GIS audit framework is necessary considering the diverse nature of GIS with regard to components, applications and industry. In practice, checklists are generated during the audit process based on specific objectives. There is no standardized list of items that can be used as a reference. The purpose of this study was to develop a GIS audit framework as a foundation for GIS audits. The framework provides that comprehensive approach to various GIS aspects during the audit process. The design builds on a developed conceptual framework where most significant categories of GIS audit parameters namely data quality, software utilization, GIS competency and procedures (work flows) were identified. The study adopted a reductive model approach to simplify the complexity associated with each category of GIS audit parameter. The resultant audit elements for each category are organized in a matrix that forms an integral part of the framework. The columns comprise audit goal, audit questions and audit subjects as indicators which are qualitatively measured. The rows comprise the parameters (data quality, software utilization, personnel competency and procedure (workflows)). To use the framework, an auditor only needs to create an audit checklist that consists of particular parameters and indicators from the framework depending on audit objective. As part of an on-going research, the next step will involve validating the framework through a mock testing process.
