Data Capture Forms What are they?. Example 1 Example 2.

Slides:



Advertisements
Similar presentations
©G. Millbery 2003Data, Information, Knowledge and Processing Slide 1 Validation  Making sure that the data value entered is sensible and reasonable 
Advertisements

2.2 Validation & Verification
Commercial Data Processing Lesson 3: Data Validation.
Database Design Concepts INFO1408 Term 2 week 1 Data validation and Referential integrity.
Validation and Verification Today will look at: The difference between accuracy and validity Explaining sources of errors and how they could be overcome.
Validation and Verification
RNJ 10/02/091 3 Computing System Fundamentals 3.6 Errors Prevention and Detection.
 By the end of this, you should be able to state the difference between DATE and INFORMAITON.
Encoding, Validation and Verification Chapter 1. Introduction This presentation covers the following: – Data encoding – Data validation – Data verification.
GCSE ICT Checking data. Why do errors happen? Computers do not make mistakes. However if incorrect data is put in errors happen. In ICT this is called.
3.2 Data Checking.
Data entry: Validation
Checking data GCSE ICT.
Checking data Chapter 7 Prepared by:Sir Mazhar Javed.
Objectives of Control The objectives of control are:  To ensure that all data are processed  To preserve the integrity of maintained data  To detect,
Creating a Database Designing Structure, Capturing and Presenting Data.
System Development Lifecycle Verification and Validation.
Collecting Data Types, coding, accuracy, file formats and the effect of data loss.
Data and information. Information and data By the end of this, you should be able to state the difference between DATE and INFORMAITON.
Systems Life Cycle. Know the elements of the system that are created Understand the need for thorough testing Be able to describe the different tests.
AS computing Validation and verification. Introduction It is important to maintain the integrity of any database of information. Any data item must always.
DATA ERRORS. Introduction The processing of incorrect data can produce ridiculous and embarrassing output. Errors can take time to sort out and can be.
Verification & Validation. Batch processing In a batch processing system, documents such as sales orders are collected into batches of typically 50 documents.
OCR CAMBRIDGE NATIONALS UNIT 1 - UNDERSTANDING COMPUTER SYSTEMS DATA CAPTURE METHODS.
1 3 Computing System Fundamentals 3.6 Errors Prevention and Recovery.
Data Collection. Data Capture This is the first stage involved in getting data into a computer Various input devices are used when getting data to the.
Data Verification and Validation
Data Validation.
OCR CAMBRIDGE NATIONALS UNIT 1 - UNDERSTANDING COMPUTER SYSTEMS DATA CAPTURE METHODS.
Validation & Verification Today will look at: The difference between accuracy and validity Explaining sources of errors and how they could be overcome.
Input, Output and Processing.. What data needs to be input into the system? Identify the sources – i.e. where does the data come from? What is the volume.
GCSE ICT LESSON 5 Booklet Sections: 6 & 7 Data Capture & Checking Data.
How to Use the Online Project Monitoring System (OPMS) Navigating the Survey.
N5 Databases Notes Information Systems Design & Development: Structures and links.
Validation and verification 1.2
DATA TYPES.
DATA COLLECTION Data Collection Data Verification and Validation.
Databases.
DATA INPUT AND OUTPUT.
Unit 16 – Database Systems
Types of data This presentation differentiates between ICT professional and end users.
Handling Data Designing Structure, Capturing and Presenting Data
Validation Rules BCS-CA2-4 Students will use database software to create, edit & publish industry appropriate files.
– Officiating Management Software
Validation Bury College.
Databases.
Setting up an online account
IT Applications Theory Slideshows
Objectives TO UNDERSTAND THAT CAPTURING DATA IS VALIDATED AND VERIFIED TO CHECK THAT IT IS REASONABLE AND CORRECT.
How can errors in data occur when using an ICT system?
Databases Software This icon indicates the slide contains activities created in Flash. These activities are not editable. For more detailed instructions,
Designing data capture forms
Data Types and Field Properties
Data Types and Field Properties
Handling Data Designing Structure, Capturing and Presenting Data
Spreadsheets, Modelling & Databases
Verification and Validation
Data Types and Field Properties
Introduction to Databases
Data Types and Field Properties
Validation and Verification
Validation Rules BCS-CA2-4 Students will use database software to create, edit & publish industry appropriate files.
Data Types and Field Properties
Data Types and Field Properties
Presentation transcript:

Data Capture Forms What are they?

Example 1

Example 2

Example 3

So what is a Data Capture Form? What are the main features of a Data Capture Form? Can you remember from the last 3 examples? Title Instructions to user (to fill in & return details) Boxes to fill in Starred sections that must be filled in Combo boxes (for on line forms with drop down boxes)

So why use a Data Capture Form? Why can’t people just hand over their details on lined paper? How does a DCF help to reduce errors when creating a database?

The Folkestone Academy Student Database The school holds a lot of data about you on a student database. What fields of data does the school have about you? Under the Data Protection Act you have a right to check your details once a year, hence the data forms that are sent out in the 1 st term. This form is ‘out of date’ for modern lives… Re-design an on-line parent/student application form to join the school…. Add , mobile phone and other relevant details Consider the data type to be entered… Alphabetic, Memo, Numeric, Alpha-numeric Date, Object (picture)

Checking for errors… There are TWO main ways in which you can check a database for errors…. V a l i d a t i o n Verification

Where you Look for errors on screen or on printed work! Either you can do it or pass it over to someone else! Proof read! Verification is also where you are asked to enter details TWICE into a computer…e.g. passwords or your address on the Internet!

Verification Computer says no….

Validation This is where the SOFTWARE checks for errors as you type in data into the database. Validation doesn’t guarantee accuracy only reasonable answers are given… E.g. a % mark is between 0 and 100, validation cannot tell whether a test result should be 9.9% or 99%?

Types of Validation checks…. Range Check Sets an upper and lower boundary for the data. Data must lie between these two values Type Check Checks that the data is the correct type e.g. numeric, date, Boolean, currency Presence Check Also called existence checks or required fields. The computer will insist that a value is entered for that field. Length Check A single character has a length of 1. The system may be set to limit the number of characters that can be entered into any field. E.g. a postcode with a space takes a maximum of 8 characters. Picture Check Also known as a Format Check. Some data entries may be a combination of numbers and letters and may have a correct order e.g. postcode CV54 2RT. The first two entries are letters, the next three are numbers and the final two are letters so the check would be: LLNNNLL Check Digit A check digit is calculated using a set of numbers and then added to the end of them. This digit is then used to check that the full code has not been corrupted in any way when it is transmitted or input. Check digits are commonly found in ISBN numbers and on barcodes. Don’t panic By the end of this coursework you will be very familiar with these types of validation checks!

Range check Range checks make sure that numerical data falls between pre-determined limits (i.e. within a certain range of numbers). For example, that the age of a pensioner who is a member of a pension scheme and who is 81 is not entered as 18. This is done by setting a bottom limit on the age range. Range checks are not infallible. In the example of the pension scheme data, if the age of the pensioner had been 96 and it had been entered as 69, the mistake would not have been detected by a range check.

Type check type checks make sure that the correct type of character has been entered e.g. that a number has not been entered where a letter should have been or that a letter have not been entered where a number should have been. E.g to reject hell0…. 1o1 Both misuse zero and o’s!

Presence check Presence checks ensure that data that must be entered is entered. For example, the pension scheme would need a pensioner’s National Insurance number. If that was not entered the presence check would detect this and notify whoever was entering the data.

Length Checks Certain types of data are always the same length. For example, a National Insurance number will have 2 letters, followed by 6 numbers, followed by 1 letter (e.g. YY232425A). A length check will identify any NI numbers that have more or fewer characters.

Check Digit When large numbers are entered into a data system there is always a chance of error. To help to overcome this problem an additional number is often added to the end of the original number. This number is a check digit, and is calculated from the other numbers in the original number.

Check Digit Check digits are often found on barcodes. When the barcode is scanned, the computer automatically removes the end number and uses the rest of the numbers to calculate what the check digit should be. If the result is the same, then the number has been entered correctly.

Check Digit The first number (4) is the check digit. Starting from the left, the next number (7) is multiplied by 11, the second (8) by 10, and so on. Check digit There are 11 digits

Check Digit The total is then found: 7 x x x x x x x x x x x 1 = is then divided by 11 (there are 11 numbers). 315 ÷ 11 = 28 with a remainder of 7.

Check Digit The remainder is then deducted from 11 and the result should equal the check digit (11 – 7 = 4). As the check digit is 4, the barcode has been entered correctly. Check digit

Common types of error are Transcription errors – these usually occur when people entering data misread what they are entering (e.g. mistaking 5 for S or O for 0). Transposition errors – these occur when people entering data get characters out of order or back to front (e.g. 619 instead of 916 or ‘form’ instead of ‘from’).

Go to your worksheet…. FieldExampleRange CheckType CheckPresence CheckLength CheckPicture CheckCheck Digit TitleMr, Mrs, Miss SurnameJones, Bloggs PostcodeCV54 9TE Telephone Number Date of Birth12/09/86 ISBN Number GenderMale, Female Price£19.99 Student Number1435

The answers… FieldExampleRange Check Type CheckPresence CheckLength CheckPicture CheckCheck Digit TitleMr, Mrs, Miss Yes SurnameJones, Bloggs Yes PostcodeCV54 9TE Yes Telephone Number Yes Date of Birth12/09/86 Yes ISBN Number Yes GenderMale, Female Yes Price£19.99 Yes Student Number1435 Yes