Maintain spatial data systems

Formats and tools

Unit Description
Reconstruct the unit from the xml and display it as an HTML page.
Assessment Tool
an assessor resource that builds a framework for writing an assessment tool
Assessment Template
generate a spreadsheet for marking this unit in a classroom environment. Put student names in the top row and check them off as they demonstrate competenece for each of the unit's elements and performance criteria.
Assessment Matrix
a slightly different format than the assessment template. A spreadsheet with unit names, elements and performance criteria in separate columns. Put assessment names in column headings to track which performance criteria each one covers. Good for ensuring that you've covered every one of the performance criteria with your assessment instrument (all assessement tools together).
Wiki Markup
mark up the unit in a wiki markup codes, ready to copy and paste into a wiki page. The output will work in most wikis but is designed to work particularly well as a Wikiversity learning project.
Evidence Guide
create an evidence guide for workplace assessment and RPL applicants
Competency Mapping Template
Unit of Competency Mapping – Information for Teachers/Assessors – Information for Learners. A template for developing assessments for a unit, which will help you to create valid, fair and reliable assessments for the unit, ready to give to trainers and students
Observation Checklist
create an observation checklist for workplace assessment and RPL applicants. This is similar to the evidence guide above, but a little shorter and friendlier on your printer. You will also need to create a seperate Assessor Marking Guide for guidelines on gathering evidence and a list of key points for each activity observed using the unit's range statement, required skills and evidence required (see the unit's html page for details)

Self Assessment Survey
A form for students to assess thier current skill levels against each of the unit's performance criteria. Cut and paste into a web document or print and distribute in hard copy.
Moodle Outcomes
Create a csv file of the unit's performance criteria to import into a moodle course as outcomes, ready to associate with each of your assignments. Here's a quick 'how to' for importing these into moodle 2.x
Registered Training Organisations
Trying to find someone to train or assess you? This link lists all the RTOs that are currently registered to deliver CPPSIS5037, 'Maintain spatial data systems'.
Google Links
links to google searches, with filtering in place to maximise the usefulness of the returned results
Reference books for 'Maintain spatial data systems' on This online store has a huge range of books, pretty reasonable prices, free delivery in Australia *and* they give a small commission to for every purchase, so go nuts :)

Elements and Performance Criteria

Elements describe the essential outcomes.

Performance criteria describe the performance needed to demonstrate achievement of the element. Where bold italicised text is used, further information is detailed in the range of conditions.


Determine data maintenance requirements.


Data maintenance objectives and constraints are identified and documented in consultation with appropriate persons.


Data system is analysed to determine components to be maintained according to project objectives.


Maintenance techniques are determined and evaluated according to organisational requirements.


Work is allocated to appropriate persons and supervisory processes are implemented to ensure work is completed within time available.


Confirm reliability of spatial data.


Spatial data updates are accessed and checked to confirm currency and relevance, and are recorded according to organisational requirements.


Spatial data is checked and edited to ensure it is compatible, and in an acceptable format according to project requirements.


Integrity and consistency of data are maintained according to organisational requirements.


Replace spatial data.


Spatial data is amended and replaced according to project and organisational requirements.


Existing and new data is edited, prepared and integrated according to project requirements.


Spatial datasets are tested and validated to ensure integrity, quality and currency according to project requirements.


Documentation is amended and updated according to organisational requirements.


Carry out backup and recovery of spatial data.


Data backups are implemented to ensure data is accessible in contingency situations according to organisational requirements.


Backup system is tested to ensure that data can be retrieved, and any problems are resolved or contingencies managed according to organisational requirements.


Archive spatial data.


Spatial dataset to be archived is checked for completeness and manipulated where necessary.


Metadata is created according to organisational requirements.


Archived spatial data is stored in a secure location, and details are recorded according to organisational requirements.