Elements and Performance Criteria
- Determine data maintenance requirements.
- Objectives, complex spatial data requirements and constraints are defined and documented according to written spatial specifications and client requirements.
- Details of maintenance techniques to be used are considered and evaluated according to organisational guidelines.
- Data design is interpreted to identify spatial datacomponents to be maintained.
- OHS and legislative requirements are adhered to.
- Pertinent legal and statutorystandards are considered and adhered to.
- Work is allocated to appropriate personnel and supervisory processes, checks and measures are implemented to ensure work is completed within time available.
- Team skills and knowledge are updated to accommodate changes in complex data systems.
- Confirm reliability of the spatial data.
- Arrangements are put in place to access spatial data updates to ensure currency and relevance.
- Spatial data is checked and edited to ensure it is in acceptable format.
- Spatial data is reviewed for compatibility and to ensure it meets specifications.
- Updates are recorded according to organisational guidelines.
- Integrity and consistency of data is maintained.
- Replace data.
- Arrangements are put in place to amend spatial data and replace it as changes are identified and according to organisational requirements.
- Existing data is adjusted to integrate with new data as appropriate.
- Spatial datasets are tested and validated to ensure integrity and quality.
- Documentation is amended and updated according to organisational standards.
- Carry out data backup and recovery.
- Archive data.
- Spatial dataset to be archived is manipulated where necessary to ensure completeness.
- Metadata is created according to accepted industry standards.
- New and existing spatial data is stored in a secure environment and according to organisational guidelines.
- Archival details are recorded according to organisational guidelines.