Unit of Competency Mapping – Information for Teachers/Assessors – Information for Learners

CPPSIS5002A Mapping and Delivery Guide
Capture new spatial data

Version 1.0
Issue Date: April 2024


Qualification -
Unit of Competency CPPSIS5002A - Capture new spatial data
Description This unit of competency specifies the outcomes required to capture new data using a variety of methods. It requires the ability to plan and execute the data capture process in a supervisory capacity, incorporating technical problems and management requirements and applying appropriate solutions to a range of data collection situations. Functions would be carried out within organisational guidelines.
Employability Skills 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.
Learning Outcomes and Application This unit of competency supports the application of theoretical and practical analysis; organisational, team leadership and sound problem-solving skills; the ability to demonstrate initiative and enterprise; and a sound understanding 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.Licensing, legislative, regulatory and certification requirements may impact on this unit. Incorporate these requirements according to state, territory and federal legislation.
Duration and Setting X weeks, nominally xx hours, delivered in a classroom/online/blended learning setting.
Prerequisites/co-requisites Nil
Competency Field
Development and validation strategy and guide for assessors and learners Student Learning Resources Handouts
Activities
Slides
PPT
Assessment 1 Assessment 2 Assessment 3 Assessment 4
Elements of Competency Performance Criteria              
Element: Prepare for data collection.
  • Key activities and timelines are scheduled with full consideration given to specification, available resources and organisational requirements.
  • Administrative and legal requirements for data collection are complied with and recorded.
  • Appropriate persons or relevant personnel are informed about the project.
  • Equipment, suppliesand spatial information services (SIS) technologies are selected according to the task requirements.
  • Designated responsibilities are communicated to staff to ensure clarity of understanding of the work and provide a basis for ongoing assessment.
  • Skills and knowledge are updated to accommodate changes in data capture techniques.
       
Element: Gather data.
  • Equipment is operated according to manufacturer specifications, and statutory and organisational guidelines.
  • Entities are related to a reference system based on the specifications.
  • Data and attributes are collected using methodologies detailed in the data capture methodology.
  • Metadata is documented according to accepted industry standards.
  • Any discrepancies between specifications and actual activities are identified, recorded and reported.
  • Administrative and legal requirements for data collection are complied with and recorded.
  • Guidance is given to staff assisting in the data collection process.
  • OHS requirements are planned for and adhered to.
       
Element: Use equipment.
  • Appropriate equipment is selected.
  • Equipment is operated according to the task requirements and manufacturer specifications.
  • All safety requirements are adhered to.
       
Element: Maintain equipment.
  • Operational maintenance of equipment is undertaken according to organisational guidelines.
  • Contingencies that may affect equipment usage are reported.
  • Unsafe or faulty equipment is reported and referred for repair.
  • Tools and equipment are stored safely in appropriate locations and according to manufacturer specifications.
       
Element: Finalise the collection process.
  • Attributes and topological structures are added to spatial data according to specifications.
  • All data is recorded correctly and required documentation is completed according to specifications and organisational requirements.
  • All data and documentation are stored according to organisational requirements.
  • Data integrity is checked according to the validation plan.
       


Evidence Required

List the assessment methods to be used and the context and resources required for assessment. Copy and paste the relevant sections from the evidence guide below and then re-write these in plain English.

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 units CPPSIS5001A Plan spatial data collection and validation, CPPSIS5005A Obtain and validate existing spatial data, CPPSIS5006A Integrate spatial datasets, CPPSIS5007A Maintain complex spatial data systems, and CPPSIS5008A Develop a complex spatial and aspatial database.

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:

applying a defined range of skills

applying known solutions to a range of problems

assessing and recording information from varied sources

demonstrating operational knowledge in relevant data capture and validation methodologies

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

taking responsibility for own and 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, 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.

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.


Submission Requirements

List each assessment task's title, type (eg project, observation/demonstration, essay, assignment, checklist) and due date here

Assessment task 1: [title]      Due date:

(add new lines for each of the assessment tasks)


Assessment Tasks

Copy and paste from the following data to produce each assessment task. Write these in plain English and spell out how, when and where the task is to be carried out, under what conditions, and what resources are needed. Include guidelines about how well the candidate has to perform a task for it to be judged satisfactory.

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

Required skills:

ability to analyse theory, concepts and statistics (high level)

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

change management

communication skills to:

consult effectively with clients and colleagues

impart knowledge and ideas through oral, written and visual means

provide customer service

computer skills (high technical user level) to complete business documentation

functional application of data capture techniques

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

negotiation skills

numeracy skills to:

analyse errors

conduct image analysis

perform mental calculations

interpret and analyse statistics

record with accuracy and precision

undertake computations

organisational skills to:

coordinate technical and human resource inputs to research activities

prioritise activities to meet contractual requirements

planning

project management skills

spatial skills to:

display proficiency in the operation of spatial data capture equipment

exercise precision and accuracy in relation to spatial and aspatial data acquisition and the use of electronic equipment

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

work effectively as part of a team.

Required knowledge and understanding:

characteristics, capabilities and limitations of tools, technology and equipment used

customer relations guidelines

data collection methods using electronic equipment

information management

legislation as it applies to the spatial industry sector

OHS requirements

organisational policies and guidelines

performance evaluation

process improvement methods

quality assurance principles

quality improvement tools

reference systems and their relationship to each other

relevant federal, state and local government laws which are applicable to the spatial data capture methodology used

risk assessment principles

safe work practices

spatial data formats, handling and structure

spatial information principles and their application

SIS project contingencies

spatial technologies.

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.

Administrative and legal requirements may include:

access protocols and obligations

Australian standards, quality assurance and certification requirements

award and enterprise agreements

company OHS guidelines

licensing arrangements

organisational protocols for accessing physical, financial and human resources

reimbursements

Indigenous considerations

relevant codes of practice

relevant state, territory or federal legislation that affects organisational operations, including:

anti-discrimination and diversity

copyright and digital copyright

equal employment opportunity (EEO)

industrial relations

royalty obligations

title search processes.

Appropriate persons or relevant personnel may include:

administrative staff

assessors

colleagues

contractors

field survey staff

land occupiers

land owners

managers

supervisors

technicians

trainers.

Equipment, supplies and SIS technologies may include:

data logger or other mobile computing device

data recording equipment

digital imagery

electronic theodolites

handheld global positioning system (GPS)

levels

maps (digital or hard copy)

measuring instruments

non-navigational aids relevant to duties, including:

compass

clinometer

distance measuring wheel

personal digital assistant

personal computer-based digitising boards

sonar

tide gauge

tools

total station

ultra high frequency (UHF) radio

vehicles.

Manufacturer specifications may be found in:

electronic format

equipment specifications

operator manuals

printed product instructions and information

spatial database

warranty documents.

Entities may include:

event

object.

Reference system may include coordinate systems that are:

global

local

regional.

Attributes are properties associated with a dataset and may include:

condition

date

size

type.

Data capture methodology may include:

aerial

conversion or translation from existing information (hard copy or digital)

data dogging

digitising theodolite

direct or indirect

field

GPS scanning

manual entry

photogrammetry

remote sensing

sonar

survey

total station.

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.

OHS requirements may include:

Australian standards

development of site safety plan

identification of potential hazards

inspection of work sites

training staff in OHS requirements

use of personal protective clothing

use of safety equipment and signage.

Operational maintenance tasks may include:

adjusting

cleaning

lubricating

maintaining battery

simple repairs

tightening.

Contingencies may include:

adverse weather

equipment failure.

Topological structures may include:

relationship between entities.

Required documentation may include:

accident and injury reports

authority/approval documentation

meeting reports

records and reports of communication

reimbursement documentation.

Copy and paste from the following performance criteria to create an observation checklist for each task. When you have finished writing your assessment tool every one of these must have been addressed, preferably several times in a variety of contexts. To ensure this occurs download the assessment matrix for the unit; enter each assessment task as a column header and place check marks against each performance criteria that task addresses.

Observation Checklist

Tasks to be observed according to workplace/college/TAFE policy and procedures, relevant legislation and Codes of Practice Yes No Comments/feedback
Key activities and timelines are scheduled with full consideration given to specification, available resources and organisational requirements. 
Administrative and legal requirements for data collection are complied with and recorded. 
Appropriate persons or relevant personnel are informed about the project. 
Equipment, suppliesand spatial information services (SIS) technologies are selected according to the task requirements. 
Designated responsibilities are communicated to staff to ensure clarity of understanding of the work and provide a basis for ongoing assessment. 
Skills and knowledge are updated to accommodate changes in data capture techniques. 
Equipment is operated according to manufacturer specifications, and statutory and organisational guidelines. 
Entities are related to a reference system based on the specifications. 
Data and attributes are collected using methodologies detailed in the data capture methodology. 
Metadata is documented according to accepted industry standards. 
Any discrepancies between specifications and actual activities are identified, recorded and reported. 
Administrative and legal requirements for data collection are complied with and recorded. 
Guidance is given to staff assisting in the data collection process. 
OHS requirements are planned for and adhered to. 
Appropriate equipment is selected. 
Equipment is operated according to the task requirements and manufacturer specifications. 
All safety requirements are adhered to. 
Operational maintenance of equipment is undertaken according to organisational guidelines. 
Contingencies that may affect equipment usage are reported. 
Unsafe or faulty equipment is reported and referred for repair. 
Tools and equipment are stored safely in appropriate locations and according to manufacturer specifications. 
Attributes and topological structures are added to spatial data according to specifications. 
All data is recorded correctly and required documentation is completed according to specifications and organisational requirements. 
All data and documentation are stored according to organisational requirements. 
Data integrity is checked according to the validation plan. 

Forms

Assessment Cover Sheet

CPPSIS5002A - Capture new spatial data
Assessment task 1: [title]

Student name:

Student ID:

I declare that the assessment tasks submitted for this unit are my own work.

Student signature:

Result: Competent Not yet competent

Feedback to student

 

 

 

 

 

 

 

 

Assessor name:

Signature:

Date:


Assessment Record Sheet

CPPSIS5002A - Capture new spatial data

Student name:

Student ID:

Assessment task 1: [title] Result: Competent Not yet competent

(add lines for each task)

Feedback to student:

 

 

 

 

 

 

 

 

Overall assessment result: Competent Not yet competent

Assessor name:

Signature:

Date:

Student signature:

Date: