Data Representation Flashcards
Data
Raw numbers, symbols, images sounds etc.
Unprocessed
Meaningless
Information
Interpreted and processed data
With context and meaning
Knowledge
Information which human experience has been applied
Knowledge Base
A collection of knowledge
Static Data
Data that does not normally change
e.g. Birthday of someone
Dynamic Data
Data that changes automatically without user intervention
e.g. Live score, stock price
Static information source
e.g. Published book, CD
Information does not change on a regular basis
Information may go out of date
Information can be viewed offline since no update
More likely to be accurate since it is available for a long period of time, thus more chance to check
Dynamic information source
e.g. Websites Information is updated automatically More likely to be up to date Network connection is required to update Data may have been produced very quickly and may contains errors
Direct Data Source
Data collected to serve that particular purpose
e.g. Census to collect statistical data of residents
Indirect Data source
Data was collected for another purpose, usually the one who consumes the data is different from who collected them
e.g. Census is done by Government, but a company can use those data for different purpose
Direct Data Source (vs)
Data is relevant since it is collected for that purpose
Original source is known, can be trust
Take long time to gather
Data is likely up to date
Data can be collected and presented in the required format
Indirect Data Source (vs)
Some required data may not exist
Original source may not known => not reliable
Data is immediately available (someone collected already)
Data may not be up to date
Data may existed in different format, need time to process
Attributes of (quality) information
Accuracy
Relevance: How related the data to its purpose
Age: Data must stay up to date
Level of Detail: Right amount of detail for the data. Too little then may not be enough information to use, too detail maybe hard to extract the information needed
Completeness: Is all information required is provided
Coding
Representing data by assigning a code to it for classification or identification
Encoding
Storing data in a specific format