Elements and Performance Criteria
- Determine data requirements
- Implement data standards
- Coordinate data capture and conversion
- Data acquisition strategies are developed to meet defined requirements.
- A range of appropriate technologies for data acquisition is used.
- Data is converted using appropriate technical interfaces.
- The effects of spatial and temporal resolution of the information content of remote-sensed data are taken into account in assessing the data.
- Implement data maintenance and validation procedures
- Develop and implement data quality and security assurance procedures
- Quality procedures for data acquisition, storage and supply are developed and implemented.
- Meta-data standards are developed and implemented in line with industry best practice.
- Regular audits of data quality are performed and followed up with appropriate advice.
- Systems for archiving and backing up the data resource are implemented.
- Provide input into council systems development
- Develop and implement data quality and security assurance procedures
- Quality procedures for data acquisition, storage and supply are developed and implemented.
- Meta-data standards are developed and implemented in line with industry best practice.
- Regular audits of data quality are performed and followed up with appropriate advice.
- Systems for archiving and backing up the data resource are implemented.
- Provide input into council systems development
- Determine data requirements
- Implement data standards
- Coordinate data capture and conversion
- Data acquisition strategies are developed to meet defined requirements.
- A range of appropriate technologies for data acquisition is used.
- Data is converted using appropriate technical interfaces.
- The effects of spatial and temporal resolution of the information content of remote-sensed data are taken into account in assessing the data.
- Implement data maintenance and validation procedures