This unit of competency supports the application of self-management and sound communication skills; planning and organising within data management and data manipulation; and the use of technology. The skills and knowledge acquired upon completion of this unit would support the needs of employees in surveying, cartography, town planning, mapping or geographic information systems.

While no licensing, legislative, regulatory or certification requirements apply holistically to this unit at the time of publication, relevant federal, and state or territory legislation, regulations and codes of practice impact upon this unit (see unit performance criteria and range statement).

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ELEMENT

PERFORMANCE CRITERIA

1Determine 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.

1.7 Team skills and knowledge are updated to accommodate changes in complex data systems.

2Confirm 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.

3Replace 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.

4Carry 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.

5Archive 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

ability to relate to people from a range of social, cultural and ethnic backgrounds and with a range of physical and mental abilities

administration

analytical skills

communication skills to:

consult effectively with clients and colleagues

impart knowledge and ideas through oral, written and visual means

computer skills (high technical user level) to complete business documentation and apply software and hardware

information management

literacy skills to:

assess and use workplace information

locate and interpret legislation and other written documentation

prepare and manage documentation

read and write technical reports

research and evaluate

translate requirements into data design

negotiation skills

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

prioritise activities to meet contractual requirements

policy and guidelines development

project management skills

spatial skills to:

perform spatial data archival and retrieval and train others in this task

perform spatial data management and manipulation and train others in this task

perform file management and train others in this task

solve problems relating to height, depth, breadth, dimension, direction and position in actual operational activity and virtual representation

understand implications of height, depth, breadth, dimension and position to actual operational activity and virtual representation

team leadership.

Required knowledge and understanding:

advanced data reduction

calibration of specialised surveying equipment

computer operating systems

coordinating reference systems

data formats

industry metadata standards, including positional accuracy, currency, coordinate system, metric system, lineage and source

map projections

OHS guidelines

organisational policies and guidelines regarding spatial data maintenance

relational database

relevant spatial data

safe work practices

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.

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 units CPPSIS5001A Plan spatial data collection and validation, CPPSIS5002A Capture new spatial data, CPPSIS5005A Obtain and validate existing spatial data, CPPSIS5006A Integrate spatial datasets, CPPSIS5008A Develop a complex spatial and aspatial database, and CPPSIS5010A 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

applying known solutions to a range of problems

full cycle of complex spatial data maintenance, including archiving, backing up, recovery and updating

operational knowledge in a broad range of areas relating to complex spatial data

performing a range of tasks where choice between a substantial range of options is required

taking responsibility for team outputs in work and learning.

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 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.

Objectives may include:

agreed client requirements

written survey specifications.

Complex spatial data may:

include data combinations from:

echo sounder

global positioning system

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, including equal employment opportunity (EEO)

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.

Unit sector

Spatial information services

The required outcomes described in this unit of competency contain applicable facets of employability skills. The Employability Skills Summary of the qualification in which this unit of competency is packaged, will assist in identifying employability skills requirements.