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?
Identify and confirm data acquisition requirements
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Use controlling body rules, category rules, supplementary regulations and team requirements to specify task requirements, including configuration, equipment, quality and quantities Completed |
Evidence:
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Access and interpret benchmark specifications for a correctly functioning Completed |
Evidence:
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Observe occupational health and safety (OHS) requirements, including regulatory requirements, equipment and system isolation requirements, and personal protection needs, throughout the work Completed |
Evidence:
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Configure electronic data acquisition systems
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Select and prepare tools and material to support the data acquisition process Completed |
Evidence:
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Calculate and enter component rates/ratios and parameters for input sensors within system math channels Completed |
Evidence:
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Enter sample rates most suited to particular data logging channel Completed |
Evidence:
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Conduct system check in accordance with regulatory, manufacturer/component supplier and team requirements Completed |
Evidence:
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Retrieve data
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Use team instructions and procedures to identify data retrieval requirements for specific purposes Completed |
Evidence:
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Follow data retrieval process in accordance with specifications and directions Completed |
Evidence:
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Verify data retrieved, where appropriate, by using reliable alternate or optional processes Completed |
Evidence:
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Identify variables and potential for inaccurate results Completed |
Evidence:
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Analyse data
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Compare all sources of collected data Completed |
Evidence:
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Analyse data using mathematical processes Completed |
Evidence:
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Analyse trends and patterns in data including non-conforming results outside of the predicted outcomes Completed |
Evidence:
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Investigate possible reasons for trends and patterns Completed |
Evidence:
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Identify potential performance enhancement solutions Completed |
Evidence:
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Report problems with the required data and/or the operation of the equipment to appropriate persons Completed |
Evidence:
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Present data
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Identify end users of statistical data and their preferred format Completed |
Evidence:
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Represent data to meet the needs of the end user Completed |
Evidence:
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Document appropriate recommendations Completed |
Evidence:
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Present recommendations with supporting data Completed |
Evidence:
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Clean up work area and maintain equipment
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Clean, maintain and prepare equipment ready for future use and store in accordance with manufacturer/component supplier specifications and team requirements Completed |
Evidence:
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Remove waste material according to team procedures Completed |
Evidence:
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Diagnose faults in acquisition systems and components Completed |
Evidence:
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Document unserviceable equipment and faults and take appropriate action in accordance with team procedures Completed |
Evidence:
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