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ICT GCSE - Topic 1 : Data, Information, Knowledge

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Mind Map on ICT GCSE - Topic 1 : Data, Information, Knowledge, created by Kakashi Hatake on 27/10/2014.
Kakashi Hatake
Mind Map by Kakashi Hatake, updated more than 1 year ago
Kakashi Hatake
Created by Kakashi Hatake over 10 years ago
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Resource summary

ICT GCSE - Topic 1 : Data, Information, Knowledge
  1. Evaluating data for fitness for purpose, accuracy and bias
    1. GIGO
      1. Abbreviation for garbage in garbage out. It means if you out rubbish in the computer - then you get rubbish out.
      2. Data
        1. Raw facts and figures with no meaning, e.g. readings from sensors and survey facts, etc. Data can be numbers, words, images, sound.
        2. Processing
          1. Data is processed by a computer. Performing calculations or arranging the data into a meaningful order. Eg. Working out an athlete's average age over 3 tears.
          2. Information
            1. Data that has been been processed by the computer.
              1. Data + Meaning + Context = Information
              2. Knowledge
                1. Derived from information by applying rules to it. Knowledge is the application of information to a situation.
                2. Example -
                  1. 99 = Data, £99 price of tv = information, I only have £90 therefore I do not have enough money to buy this tv
                3. Encoding and the storage of data
                  1. Encoding
                    1. Assigning codes to the data, reducing it's size.
                      1. E.g - Size of clothes - S = Small, M = Medium, L = Large.
                        1. E.g - Airport codes - LHR = London Heathrow, MAN = Manchester.
                        2. Advantages
                          1. Takes up less storage space, easily transferable, easier to back.
                          2. Disadvantages
                            1. Easily stolen, training needed, security problems, viruses etc.
                        3. Data Validation
                          1. Transcription error
                            1. Error made when typing in data using a document as the source of the data. E.g - Mishearing what a person says over the phone and entering it into the computer.
                              1. Presence Check
                                1. Is used to check that data is entered is entered into the correct fields. E.g - Entering your username and password into facebook.
                              2. Transposition error
                                1. Error made when characters are swapped around so they are in the wrong order. E.g - putting in faceboko instead of facebook
                                  1. validation Checks
                                    1. Are checks a developer of a solution sets/ creates, using the software, in order to restrict the data that a user can enter, so as to reduce errors. Presence and range checks are validation check examples.
                                  2. Check digit
                                    1. A decimal number (or an alphanumeric character) added to a number for the purpose of detecting the sorts of errors that humans normally make on a data entry. E.g - Account numbers will have check digits, to check that the numbers inputted are correct.
                                    2. Range check
                                      1. Data validation technique which checks that the data input to a computer is within a certain range. E.g - checking the data of birth of a year 9 pupil is lower than 1998, since the system wouldn't allow that person to enter that date as they are too old for year 9.
                                    3. Data verification
                                      1. Batch total
                                        1. A meaningful total that is used to check that the computer has input all the data. E.g - adding up all the totals of a batch of sold ebay items.
                                        2. Hatch total
                                          1. Meaningless total of numbers, such as order numbers, used to check that all the data has been entered.
                                          2. Parity check
                                            1. Check to make sure that the data sent is the same as that recieved when data is transmitted from one computer to another. E.g - An email sent from one person to another.
                                            2. Verification
                                              1. Checking that the data being entered into the ICT system perfectly matches the source of the data. E.g - Checking the text/ data in an email and making sure when it arrives to the recipient that no error has been introduced.
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