Produce GIS data Evidence Guide

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Evidence Guide: CPPSIS5063A - Produce GIS data

Student: __________________________________________________

Signature: _________________________________________________

Tips for gathering evidence to demonstrate your skills

The important thing to remember when gathering evidence is that the more evidence the better - that is, the more evidence you gather to demonstrate your skills, the more confident an assessor can be that you have learned the skills not just at one point in time, but are continuing to apply and develop those skills (as opposed to just learning for the test!). Furthermore, one piece of evidence that you collect will not usualy demonstrate all the required criteria for a unit of competency, whereas multiple overlapping pieces of evidence will usually do the trick!

From the Wiki University

CPPSIS5063A - Produce GIS data

What evidence can you provide to prove your understanding of each of the following citeria?

Analyse request to develop solution.

Specified problem or question is clarified in consultation with end users to establish end result specifications.
Information required to achieve result is defined and required data sets are determined.

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

Completed
Date:

Teacher:

Evidence:

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

Completed
Date:

Teacher:

Evidence:

Assessed

Teacher: ___________________________ Date: _

Signature: ________________________________________________

Comments:

Instructions to Assessors

Evidence Guide

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.

Required Skills and Knowledge

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

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

Range Statement

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.