Data and Quality of Data
Evaluate data for fitness for purpose, accuracy and bias.
Understand
- that data consists of raw facts and figures e.g. readings from sensors, survey facts, etc
- that information is data which has been processed by the computer
- that knowledge is derived from information by applying rules to it
- the need for good quality data; G.I.G.O. (Garbage In, Garbage Out)
- the potential benefits of encoding data and the reasons for doing it
- the improved speed of access to data
- the advantages and disadvantages of using Information and Communication Technology for storing data.
Data Validation
Define validation and verification.
Know the methods used for validation and verification and where they are appropriate.
Identify:
- data validation techniques for single user and online systems such as range checks, format checks, presence checks and check digits.
- potential types of errors and understand methods for minimising the risk of errors
Verification
- parity check
- double keying
- visual check
- batch totals
- hash totals
- the possible sources of error which could exist
- the techniques used to overcome these errors.
Resources
encoding_data.pptx |
evaluating_data.pptx |
data_validation.pptx |
Created with mindmeister.
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