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
What evidence can you provide to prove your understanding of each of the following citeria?
Determine data requirements
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Business needs are identified in consultation with all functional areas of council. Completed |
Evidence:
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Data requirements are defined in accordance with business needs. Completed |
Evidence:
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Implement data standards
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Appropriate data standards are implemented consistent with industry standards. Completed |
Evidence:
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All data complies with implemented standards. Completed |
Evidence:
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Opportunities for continuing improvement are investigated, assessed and implemented. Completed |
Evidence:
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Coordinate data capture and conversion
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Data acquisition strategies are developed to meet defined requirements. Completed |
Evidence:
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A range of appropriate technologies for data acquisition is used. Completed |
Evidence:
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Data is converted using appropriate technical interfaces. Completed |
Evidence:
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The effects of spatial and temporal resolution of the information content of remote-sensed data are taken into account in assessing the data. Completed |
Evidence:
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Implement data maintenance and validation procedures
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Routines for data validation and maintenance are developed and implemented. Completed |
Evidence:
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Versions of data and related systems are documented to ensure reliable historical tracking and accessibility. Completed |
Evidence:
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Appropriate data is collated into one system for transfer and integration into other systems. Completed |
Evidence:
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Develop and implement data quality and security assurance procedures
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Quality procedures for data acquisition, storage and supply are developed and implemented. Completed |
Evidence:
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Meta-data standards are developed and implemented in line with industry best practice. Completed |
Evidence:
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Regular audits of data quality are performed and followed up with appropriate advice. Completed |
Evidence:
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Systems for archiving and backing up the data resource are implemented. Completed |
Evidence:
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Provide input into council systems development
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Timely advice and forecasting of data storage capacity, processing capability and other requirements are provided to management to ensure council's geographic information systems (GIS) requirements are recognised and considered in the budget. Completed |
Evidence:
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Input is provided to upgraded or new council systems. Completed |
Evidence:
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Develop and implement data quality and security assurance procedures
|
|
Quality procedures for data acquisition, storage and supply are developed and implemented. Completed |
Evidence:
|
Meta-data standards are developed and implemented in line with industry best practice. Completed |
Evidence:
|
Regular audits of data quality are performed and followed up with appropriate advice. Completed |
Evidence:
|
Systems for archiving and backing up the data resource are implemented. Completed |
Evidence:
|
Provide input into council systems development
|
|
Timely advice and forecasting of data storage capacity, processing capability and other requirements are provided to management to ensure council's geographic information systems (GIS) requirements are recognised and considered in the budget. Completed |
Evidence:
|
Input is provided to upgraded or new council systems. Completed |
Evidence:
|
Determine data requirements
|
|
Business needs are identified in consultation with all functional areas of council. Completed |
Evidence:
|
Data requirements are defined in accordance with business needs. Completed |
Evidence:
|
Implement data standards
|
|
Appropriate data standards are implemented consistent with industry standards. Completed |
Evidence:
|
All data complies with implemented standards. Completed |
Evidence:
|
Opportunities for continuing improvement are investigated, assessed and implemented. Completed |
Evidence:
|
Coordinate data capture and conversion
|
|
Data acquisition strategies are developed to meet defined requirements. Completed |
Evidence:
|
A range of appropriate technologies for data acquisition is used. Completed |
Evidence:
|
Data is converted using appropriate technical interfaces. Completed |
Evidence:
|
The effects of spatial and temporal resolution of the information content of remote-sensed data are taken into account in assessing the data. Completed |
Evidence:
|
Implement data maintenance and validation procedures
|
|
Routines for data validation and maintenance are developed and implemented. Completed |
Evidence:
|
Versions of data and related systems are documented to ensure reliable historical tracking and accessibility. Completed |
Evidence:
|
Appropriate data is collated into one system for transfer and integration into other systems. Completed |
Evidence:
|