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Follow the links below to find material targeted to the unit's elements, performance criteria, required skills and knowledge

Elements and Performance Criteria

1. Determine data maintenance requirements.
   • Data maintenance objectives and constraints are identified and documented in consultation with appropriate persons.
   • Data system is analysed to determine components to be maintained according to project objectives.
   • Maintenance techniques are determined and evaluated according to organisational requirements.
   • Work is allocated to appropriate persons and supervisory processes are implemented to ensure work is completed within time available.
2. Confirm reliability of spatial data.
   • Spatial data updates are accessed and checked to confirm currency and relevance, and are recorded according to organisational requirements.
   • Spatial data is checked and edited to ensure it is compatible, and in an acceptable format according to project requirements.
   • Integrity and consistency of data are maintained according to organisational requirements.
3. Replace spatial data.
   • Spatial data is amended and replaced according to project and organisational requirements.
   • Existing and new data is edited, prepared and integrated according to project requirements.
   • Spatial datasets are tested and validated to ensure integrity, quality and currency according to project requirements.
   • Documentation is amended and updated according to organisational requirements.
4. Carry out backup and recovery of spatial data.
   • Data backups are implemented to ensure data is accessible in contingency situations according to organisational requirements.
   • Backup system is tested to ensure that data can be retrieved, and any problems are resolved or contingencies managed according to organisational requirements.
5. Archive spatial data.
   • Spatial dataset to be archived is checked for completeness and manipulated where necessary.
   • Metadata is created according to organisational requirements.
   • Archived spatial data is stored in a secure location, and details are recorded according to organisational requirements.

Range Statement

This section specifies work environments and conditions that may affect performance. Essential operating conditions that may be present (depending on the work situation, needs of the candidate, accessibility of the item, and local industry and regional contexts) are included. Bold italicised wording, if used in the performance criteria, is detailed below.
Appropriate persons must include at least two of the following:	client manager spatial technician staff.
Validated must include at least two of the following methods:	confounding bias information/data bias observational bias recall bias selection bias.
Metadata must include at least four of the following:	availability conditions of use coordinate system currency custodian data accuracy data description date of acquisition licence quality source spatial data acquisition methodologies version control.

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Performance Evidence

A person demonstrating competency in this unit must satisfy the requirements of the elements, performance criteria, foundation skills and range of conditions of this unit. The person must also implement the full cycle of maintenance of spatial data systems for two different projects, including the full cycle of updating, backup, recovery and archiving.

While maintaining the above spatial data systems, the person must:

allocate tasks within the work team, and provide supervision to ensure work is completed within required timeframes

apply industry-accepted standards for:

accuracy, precision and error tolerances to ensure data systems are accurately maintained

creating and recording metadata

comply with administrative and legal requirements for storing and retrieving spatial data, including data privacy and information copyright

comply with organisational requirements and manufacturer specifications when using the equipment specified in the assessment conditions

comply with organisational requirements for recording data and completing documentation, and working safely when using screen-based equipment

evaluate and decide appropriate data maintenance techniques

use spatial data input technologies, including:

digitising

scanning

remote sensing

satellite imagery

use spatial data output and distribution technologies, including:

scripting

query language

macro development

graphic interfaces

networks

remote access.

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Knowledge Evidence

A person demonstrating competency in this unit must demonstrate knowledge of:

administrative and legal requirements for accessing, storing, retrieving and archiving digital and hard copy spatial data, including data privacy and information copyright

advanced spatial data reduction processes

key features of coordinate reference systems

industry-accepted standards relating to accuracy and precision, error tolerances and metadata

types of map projections

methods for validating test results to identify systematic distortions

organisational policy and procedures relating to work tasks, including:

health and safety when using the equipment specified in the assessment conditions

maintaining the quality and integrity of spatial data

reporting, including completing records and documentation

storing and retrieving data

software that can be used to manage spatial data, create metadata, and apply spatial data input, output and distribution technologies

types of spatial data formats

techniques for using spatial data input technologies, as specified in the performance evidence

techniques for using spatial data output and distribution technologies, as specified in the performance evidence

types of storage media for a range of spatial data.

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