Unit of competency details

Elements describe the essential outcomes of a unit of competency.

Performance criteria describe the required performance needed to demonstrate achievement of the element. Where bold italicised  text is used, further information is detailed in the required skills and knowledge and/or the range statement. Assessment of performance is to be consistent with the evidence guide.

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 data components  to be maintained.

1.4

OHS  and legislative requirements  are adhered to.

1.5

Pertinent legal and statutory standards  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.

This section describes the essential skills and knowledge and their level, required for this unit.

Required skills 

• ability to interpret technical manuals
• communication skills to:

• consult effectively with clients and colleagues
• impart knowledge and ideas through oral, written and visual means

• computer skills to complete business documentation and apply software and hardware
• literacy skills to:

• assess and use workplace information
• develop policy and guidelines
• read and write technical reports
• research and evaluate
• translate requirements into data design

• numeracy skills to:

• analyse errors
• conduct image analysis
• perform mental calculations
• interpret and analyse statistics
• record with accuracy and precision
• undertake computations
• verify reliability of datasets

• organisational skills to:

• coordinate technical and human resource inputs to research activities
• manage information
• prioritise activities to meet contractual requirements

• project management skills to coordinate the maintenance of complex spatial data systems
• spatial skills to:

• archive and retrieve spatial data
• manage and manipulate spatial data
• manage files

Required knowledge 

• advanced spatial data reduction processes
• calibration of specialised surveying equipment to manipulate spatial data
• computer operating systems
• coordinating reference systems
• data formats
• industry metadata standards, including positional accuracy, currency, coordinate system, metric system, lineage and source
• map projections
• organisational policies and guidelines regarding spatial data maintenance
• relational database to store spatial data
• relevant spatial data to maintain complex data system
• spatial data input technologies, including digitising, scanning, remote sensing and satellite imagery
• spatial data maintenance systems
• spatial data output and distribution technologies, including scripting, query language, macro development, graphic interfaces, networks and remote access
• understanding of errors, accuracy and precision in data systems to ensure that complex spatial data systems are maintained accurately

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.

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 (see above).

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.