1

Analyse request to develop solution.

1.1

Specified problem or question is clarified in consultation with end users to establish end result specifications.

1.2

Information required to achieve result is defined and required data sets are determined.

2

Assess data availability.

2.1

Availability of required data sets is determined through research of internal and external sources.

2.2

Custodianship of data is confirmed, and access and pricing are determined.

2.3

New data is captured and existing data obtained in line with industry standards and statutory requirements.

2.4

Organisational procedures to capture data are followed.

3

Assess data quality.

3.1

Data is assessed for integrity to determine suitability for task.

3.2

Disparities between data sets are investigated and resolved to ensure integrity of data used.

3.3

Appropriate procedures for data management or the manipulation of data sets are selected.

4

Run standard query.

4.1

Appropriate standard query is selected.

4.2

Selected query is run to achieve required outcome.

5

Validate outcome.

5.1

Appropriate datavalidation procedures are determined.

5.2

Outcome is validated in line with predetermined procedures.

5.3

Procedures to refine model or analytical procedures are developed.

5.4

End users are consulted regarding suitability of outcome and amendments are negotiated according to organisational requirements.

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

Required skills

analytical skills to analyse data development options

communication skills to:

consult effectively with clients and colleagues

impart knowledge and ideas through oral, written and visual means

initiative and enterprise skills to:

negotiate with clients

interpret project requirements

translate requirements into design

literacy skills to:

assess, develop and use workplace information

prepare and manage documentation and information flow

read and write specification reports, including technical reports

research and access information in order to source geographic information

numeracy skills to:

analyse errors

estimate costs

perform mental calculations

record with accuracy and precision

planning and organising skills to:

plan and prioritise activities to meet contractual requirements

conduct project activity

manage information

spatial skills to:

archive and retrieve spatial data

capture geographic information

manage and manipulate spatial data

technology skills to use computers to develop business documentation

Required knowledge

data management processes

data reduction and manipulation techniques

database structures, including the relationship of spatial features of database

generic query language, such as structured query language (SQL)

geographic information systems (GIS) software, such as:

ArcInfo

GenaMap

MapInfo

legislation relating to:

appropriate Acts

copyright

freedom of information

intellectual property

trade practices

line instructions and programming for GIS data

organisational and industry policies and practices relating to:

custodianship of data

industry practices, policies and standards

access to organisational and industry documentation

statutory requirements

potential inaccuracies and problems

requirements relevant to producing GIS data:

accuracy and precision requirements

data formats

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 CPPSIS5064A Manipulate and analyse GIS 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:

producing geographic information data systems that meet the integrity of data standards and client needs

validating data in line with organisational and industry procedures

knowledge of data systems and data capture and manipulation techniques.

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 GIS data

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, which 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 SIS 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.

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.

End users may include:

elected members

general public

land information authorities

local government

real estate agents

residents

state and federal government departments

statutory bodies, including land titles office

transport companies

utilities.

End result specifications may include:

equations

graphs

maps

parameters

time available to complete the task

tables.

Data may include:

computer records

graphical

user application programs, such as:

accounting packages

databases

spreadsheets

hard copy documents, such as:

books

maps

plans

work registers

information, such as:

census data

community facilities

demographic data

local government facilities

organisational locations

property classifications

property boundaries

property ownership

transport routes

utilities

zonings

spatial

textual.

Internal and external sources may include:

internal:

aerial photographs

deed books

plans

surveys

transaction books

external:

government departments or authorities

land titles office

local government

orthophotography

private industry

property agencies

street directory companies

surveys

telecommunications industry

water authorities

utility organisations

technical descriptions of survey data

preparation of cross-sections and plans, with all information included.

Industry standards may include:

confidentiality

informal practices not detailed in manuals or standard operating procedures

privacy

protocols.

Integrity of data may include:

accuracy

completeness

confidence limits

currency

quality depending on factors, such as:

age of hard copy

condition of hard copy

condition of photography

resolution

scale.

Data management may include:

digital image processing packages

ecological models

economic models

geographical analysis techniques

map algebra

relational database management system (RDBMS) and global database management system (GDMS)

statistical packages

survey computations.

Manipulation of data sets may include:

command lines

general query language, such as SQL

programming language

scripts.

Required outcome may include:

building up elements of database

creating map layers

developing information for internal or external clients.