Unit of competency Outline
Date retreived
23/07/2026 11:30 AM AWST
23/07/2026 11:30 AM AWST
Whilst all efforts are made to provide accurate and timely information from the relevant source/documentation, please be aware that the information supplied may not be the most current version. The accuracy of the detail has not been confirmed by the Department and therefore should not be relied upon without first confirming the contents.
Maintain complex spatial data systems
Maintain complex spatial data systems
Unit of competency
National Code
CPPSIS5037A
CPPSIS5037A
State Code
WE792
WE792
TGA Status
Replaced
Replaced
DTWD Status
Replaced
Replaced
State Implementation and Classification
Approved Date
27/02/2013
Field of Education
031199 - Geomatic Engineering, N.e.c.
Original Release Date
27/02/2013
Nominal Hours
60
Description
This unit of competency specifies the outcomes required to work with the cycle of spatial data maintenance, including updating, backing up, recovering and archiving complex data. It requires the ability to apply theoretical spatial concepts to a range of situations in order to maintain complex spatial data systems, often in a supervisory capacity. Functions would be carried out within organisational guidelines.
Notes
Elements and Performance Criteria
1 Determine data maintenance requirements.
- 1.1 Objectives, complex spatial data requirements and constraints are defined and documented according to written spatial specifications and client requirements.
- 1.2 Details of maintenance techniques to be used are considered and evaluated according to organisational guidelines.
- 1.3 Data design is interpreted to identify spatial datacomponents to be maintained.
- 1.4 OHS and legislative requirements are adhered to.
- 1.5 Pertinent legal and statutorystandards are considered and adhered to.
- 1.6 Work is allocated to appropriate personnel and supervisory processes, checks and measures are implemented to ensure work is completed within time available.
2 Confirm reliability of the spatial data.
- 2.1 Arrangements are put in place to access spatial data updates to ensure currency and relevance.
- 2.2 Spatial data is checked and edited to ensure it is in acceptable format.
- 2.3 Spatial data is reviewed for compatibility and to ensure it meets specifications.
- 2.4 Updates are recorded according to organisational guidelines.
- 2.5 Integrity and consistency of data is maintained.
3 Replace data.
- 3.1 Arrangements are put in place to amend spatial data and replace it as changes are identified and according to organisational requirements.
- 3.2 Existing data is adjusted to integrate with new data as appropriate.
- 3.3 Spatial datasets are tested and validated to ensure integrity and quality.
- 3.4 Documentation is amended and updated according to organisational standards.
4 Carry out data backup and recovery.
- 4.1 Arrangements are made for data backups to be implemented to ensure copies of data are accessible in contingency situations.
- 4.2 Backup system is tested to ensure it can be retrieved.
5 Archive data.
- 5.1 Spatial dataset to be archived is manipulated where necessary to ensure completeness.
- 5.2 Metadata is created according to accepted industry standards.
- 5.3 New and existing spatial data is stored in a secure environment and according to organisational guidelines.
- 5.4 Archival details are recorded according to organisational guidelines.
The range statement relates to the unit of competency as a whole. It allows for different work environments and situations that may affect performance. Bold italicised wording in the performance criteria is detailed below. Add any essential operating conditions that may be present with training and assessment depending on the work situation, needs of the candidate, accessibility of the item, and local industry and regional contexts.
Objectives may include:
agreed client requirements
written survey specifications.
Complex spatial data may:
include data combinations from:
echo sounder
global navigation satellite system (GNSS)
level
photogrammetry
remote sensing
total station
relate to:
depth
dimension
direction
height
position
the manner in which data combinations and contingencies interact.
Constraints may include:
coverage
datum
environmental factors
financial
industry requirements
legal and statutory.
Client requirements refer to description of outputs and may be contained in:
contracts
memos
tender briefs
verbal instructions
written instructions.
Techniques may include:
field
office procedures.
Organisational guidelines may include:
appropriate timelines
code of ethics
company policy
final product formats
formal design parameters
legislation relevant to the work or service function
manuals
OHS policies and procedures
personnel practices and guidelines outlining teamwork, work roles and responsibilities
requirements for data processing.
Design may include:
digital information
hard copy plans
maps
written instructions.
Spatial data components may include:
depth
dimension
direction
flow rates
position
slope.
OHS may include:
Australian standards
development of site safety plan
identification of potential hazards
inspection of work sites
training staff in OHS requirements
use of equipment and signage.
Legislative requirements may include:
Australian standards
award and enterprise agreements
certification requirements
codes of practice
copyright
quality assurance requirements.
Legal and statutory standards may include:
local government requirements
national standards
state statutes and regulations.
Supervisory processes may include:
directing activity
implementing
meeting deadlines
monitoring
planning
overseeing practices
reviewing
targeting.
Time available may involve estimates for time duration of project, including:
client instructions
consideration of contingencies
consideration of past project experiences
experience of project personnel
location of project
methods to be employed
resources and equipment to be used.
Acceptable format may include:
consistent style
legibility.
Update may include:
incremental or full updates
spatial or attribute or both
new information.
Organisational requirements:
may be noted in organisational guidelines (seeabove).
Validated means reflecting the true state of a test result, including tests for systematic distortions such as:
confounding bias
information/data bias
observational bias
recall bias
selection bias.
Documentation may include:
metadata
organisational indexes
spatial data files.
Manipulation may include:
addition
error tolerance testing
subtraction.
Metadata may include:
summarised information about a spatial dataset that describes the characteristics of the dataset, including:
availability
conditions of use
coordinate system
currency
date of acquisition
quality
source
spatial data acquisition methodologies
version control.
Objectives may include:
agreed client requirements
written survey specifications.
Complex spatial data may:
include data combinations from:
echo sounder
global navigation satellite system (GNSS)
level
photogrammetry
remote sensing
total station
relate to:
depth
dimension
direction
height
position
the manner in which data combinations and contingencies interact.
Constraints may include:
coverage
datum
environmental factors
financial
industry requirements
legal and statutory.
Client requirements refer to description of outputs and may be contained in:
contracts
memos
tender briefs
verbal instructions
written instructions.
Techniques may include:
field
office procedures.
Organisational guidelines may include:
appropriate timelines
code of ethics
company policy
final product formats
formal design parameters
legislation relevant to the work or service function
manuals
OHS policies and procedures
personnel practices and guidelines outlining teamwork, work roles and responsibilities
requirements for data processing.
Design may include:
digital information
hard copy plans
maps
written instructions.
Spatial data components may include:
depth
dimension
direction
flow rates
position
slope.
OHS may include:
Australian standards
development of site safety plan
identification of potential hazards
inspection of work sites
training staff in OHS requirements
use of equipment and signage.
Legislative requirements may include:
Australian standards
award and enterprise agreements
certification requirements
codes of practice
copyright
quality assurance requirements.
Legal and statutory standards may include:
local government requirements
national standards
state statutes and regulations.
Supervisory processes may include:
directing activity
implementing
meeting deadlines
monitoring
planning
overseeing practices
reviewing
targeting.
Time available may involve estimates for time duration of project, including:
client instructions
consideration of contingencies
consideration of past project experiences
experience of project personnel
location of project
methods to be employed
resources and equipment to be used.
Acceptable format may include:
consistent style
legibility.
Update may include:
incremental or full updates
spatial or attribute or both
new information.
Organisational requirements:
may be noted in organisational guidelines (seeabove).
Validated means reflecting the true state of a test result, including tests for systematic distortions such as:
confounding bias
information/data bias
observational bias
recall bias
selection bias.
Documentation may include:
metadata
organisational indexes
spatial data files.
Manipulation may include:
addition
error tolerance testing
subtraction.
Metadata may include:
summarised information about a spatial dataset that describes the characteristics of the dataset, including:
availability
conditions of use
coordinate system
currency
date of acquisition
quality
source
spatial data acquisition methodologies
version control.
The evidence guide provides advice on assessment and must be read in conjunction with the performance criteria, required skills and knowledge, the range statement and the Assessment Guidelines for this Training Package.
Overview of assessment
This unit of competency could be assessed on its own or in combination with other units relevant to the job function, for example CPPSIS5031A Plan spatial data collection and validation, CPPSIS5032A Capture new spatial data, CPPSIS5035A Obtain and validate spatial data, CPPSIS5036A Integrate spatial datasets, CPPSIS5038A Develop a complex spatial and aspatial database, and CPPSIS5040A Collate and interpret spatial data.
Critical aspects for assessment and evidence required to demonstrate competency in this unit
A person who demonstrates competency in this unit must be able to provide evidence of:
making qualitative judgements about new and existing spatial data
full cycle of complex spatial data maintenance, including archiving, backing up, recovery and updating
spatial data input and output technology.
Specific resources for assessment
Resource implications for assessment include access to:
assessment instruments, including personal planner and assessment record book
assignment instructions, work plans and schedules, policy documents and duty statements
registered training provider of assessment services
relevant guidelines, regulations and codes of practice
suitable venue and equipment.
Access must be provided to appropriate learning and assessment support when required.
Where applicable, physical resources should include equipment modified for people with disabilities.
Context of assessment
Holistic: based on the performance criteria, evidence guide, range statement, and required skills and knowledge.
Method of assessment
Demonstrated over a period of time and observed by the assessor (or assessment team working together to conduct the assessment).
Demonstrated competency in a range of situations, that may include customer/workplace interruptions and involvement in related activities normally experienced in the workplace.
Obtained by observing activities in the field and reviewing induction information. If this is not practicable, observation in realistic simulated environments may be substituted.
Guidance information for assessment
Assessment requires that the clients’ objectives and industry expectations are met. If the clients’ objectives are narrowly defined or not representative of industry needs, it may be necessary to refer to portfolio case studies of a variety of surveying and spatial information services requirements to assess competency.
Oral questioning or written assessment and hypothetical situations (scenarios) may be used to assess underpinning knowledge (in assessment situations where the candidate is offered a preference between oral questioning or written assessment, questions are to be identical).
Supplementary evidence may be obtained from relevant authenticated correspondence from existing supervisors, team leaders or specialist training staff.
All practical demonstration must adhere to the safety and environmental regulations relevant to each State or Territory.
Where assessment is for the purpose of recognition (recognition of current competencies [RCC] or recognition of prior learning [RPL]), the evidence provided will need to be authenticated and show that it represents competency demonstrated over a period of time.
In all cases where practical assessment is used it will be combined with targeted questioning to assess the underpinning knowledge.
Assessment processes will be appropriate to the language and literacy levels of the candidate and any cultural issues that may affect responses to the questions, and will reflect the requirements of the competency and the work being performed.
Overview of assessment
This unit of competency could be assessed on its own or in combination with other units relevant to the job function, for example CPPSIS5031A Plan spatial data collection and validation, CPPSIS5032A Capture new spatial data, CPPSIS5035A Obtain and validate spatial data, CPPSIS5036A Integrate spatial datasets, CPPSIS5038A Develop a complex spatial and aspatial database, and CPPSIS5040A Collate and interpret spatial data.
Critical aspects for assessment and evidence required to demonstrate competency in this unit
A person who demonstrates competency in this unit must be able to provide evidence of:
making qualitative judgements about new and existing spatial data
full cycle of complex spatial data maintenance, including archiving, backing up, recovery and updating
spatial data input and output technology.
Specific resources for assessment
Resource implications for assessment include access to:
assessment instruments, including personal planner and assessment record book
assignment instructions, work plans and schedules, policy documents and duty statements
registered training provider of assessment services
relevant guidelines, regulations and codes of practice
suitable venue and equipment.
Access must be provided to appropriate learning and assessment support when required.
Where applicable, physical resources should include equipment modified for people with disabilities.
Context of assessment
Holistic: based on the performance criteria, evidence guide, range statement, and required skills and knowledge.
Method of assessment
Demonstrated over a period of time and observed by the assessor (or assessment team working together to conduct the assessment).
Demonstrated competency in a range of situations, that may include customer/workplace interruptions and involvement in related activities normally experienced in the workplace.
Obtained by observing activities in the field and reviewing induction information. If this is not practicable, observation in realistic simulated environments may be substituted.
Guidance information for assessment
Assessment requires that the clients’ objectives and industry expectations are met. If the clients’ objectives are narrowly defined or not representative of industry needs, it may be necessary to refer to portfolio case studies of a variety of surveying and spatial information services requirements to assess competency.
Oral questioning or written assessment and hypothetical situations (scenarios) may be used to assess underpinning knowledge (in assessment situations where the candidate is offered a preference between oral questioning or written assessment, questions are to be identical).
Supplementary evidence may be obtained from relevant authenticated correspondence from existing supervisors, team leaders or specialist training staff.
All practical demonstration must adhere to the safety and environmental regulations relevant to each State or Territory.
Where assessment is for the purpose of recognition (recognition of current competencies [RCC] or recognition of prior learning [RPL]), the evidence provided will need to be authenticated and show that it represents competency demonstrated over a period of time.
In all cases where practical assessment is used it will be combined with targeted questioning to assess the underpinning knowledge.
Assessment processes will be appropriate to the language and literacy levels of the candidate and any cultural issues that may affect responses to the questions, and will reflect the requirements of the competency and the work being performed.
Replaces
| State Code | National Code | Title | Type |
|---|---|---|---|
| D1517 | CPPSIS5007A | Maintain complex spatial data systems | Unit of competency |
Replaced By
| State Code | National Code | Title | Type |
|---|---|---|---|
| AXF55 | CPPSIS5037 | Maintain spatial data systems | Unit of competency |
| State Code | National Code | Title | Type |
|---|---|---|---|
| J358 | CPP50212 | Diploma of Spatial Information Services | Qualification |
| J357 | CPP50112 | Diploma of Surveying | Qualification |