We think you have liked this presentation. If you wish to download it, please recommend it to your friends in any social system. Share buttons are a little bit lower. Thank you!
Presentation is loading. Please wait.
Published byShawn Bickham
Modified over 2 years ago
©G. Millbery 2003Data, Information, Knowledge and Processing Slide 1 Validation Making sure that the data value entered is sensible and reasonable Types of Validation: Field Presence Check Field Length Check Range Check Format/Picture Check Check Digit
©G. Millbery 2003Data, Information, Knowledge and Processing Slide 2 Types of Validation Field Presence Check Makes sure data has been entered into a field »Called a required field in MSAccess Field Length Check Checks the number of characters entered (minimum and maximum) Range Check To check that the value entered is within a pre-determined range.
©G. Millbery 2003Data, Information, Knowledge and Processing Slide 3 Types of Validation (cont.) Format/Picture Check Makes sure that the data entered follows a known pattern (e.g. Postcodes, National Insurance Numbers) Check Digit Allows a number to be self checking – the computer applies a set of rules which determines of the numbers entered are valid. (ISBN)
©G. Millbery 2003Data, Information, Knowledge and Processing Slide 4 Validation and Verification Can only ensure that the data is reasonable Cannot guarantee accuracy If the source data is wrong then the data entered into the system will also be incorrect Verification makes sure the source is the same as the object Validation makes sure the data is within acceptable boundaries Neither ensures accuracy of data
1 AQA ICT AS Level © Nelson Thornes 2008 Good quality data and information Data terms.
3.2 Data Checking. Overview Demonstrate knowledge and understanding of data verification and validation techniques. Identify the most suitable data validation.
© Boardworks Ltd of 5 Validation. © Boardworks Ltd of 5 Teacher’s notes included in the Notes Page Flash activity. These activities are.
Data Verification and Validation. Learning objectives At the end of the lesson you will: - Know what data verification is Know what data verification.
AS computing Validation and verification. Introduction It is important to maintain the integrity of any database of information. Any data item must always.
© Boardworks Ltd of 9 Validation. © Boardworks Ltd of 9 Teacher’s notes included in the Notes Page Flash activity. These activities are.
© Boardworks Ltd of 9 Validation. © Boardworks Ltd of 9 TASK 1 – MINI Test Complete the mini test. The mark will be going towards a Sims.
Data Capture Forms What are they?. Example 1 Example 2.
Chapter 3 Data Control Ensure the Accurate and Complete data is entering into the data processing system.
RNJ 10/02/091 3 Computing System Fundamentals 3.6 Errors Prevention and Detection.
OCR ICT for AS © Hodder Education 2008 Chapter 1 Data, information, knowledge and processing.
System Development Lifecycle Verification and Validation.
Commercial Data Processing Lesson 3: Data Validation.
Verification & Validation. Batch processing In a batch processing system, documents such as sales orders are collected into batches of typically 50 documents.
Encoding, Validation and Verification Chapter 1. Introduction This presentation covers the following: – Data encoding – Data validation – Data verification.
What is Validation Understanding Validation (Different from Verification)
©G. Millbery 2003Data, Information, Knowledge and Processing Slide 1 Testing Every system must be reliable and the data it produces trusted This is.
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.
Databases Validation and Verification. GIGO When you are entering data into a database or spreadsheet, it is vital that the data is as accurate as possible.
Objectives of Control The objectives of control are: To ensure that all data are processed To preserve the integrity of maintained data To detect,
Data Validation. Data Validation and Verification Validation –the checks a computer carries out when data is input, it checks that the data is sensible.
Information Processing and Presentation by Rico Yu.
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.
Verification & Validation DATA.... Objectives Identify types of data verification Identify types of data validation Explain the difference between data.
Copyright © 2010 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Starting Out with Programming Logic & Design Second Edition by Tony Gaddis.
Data Management Data Verification Data Validation.
Validation & Verification Today will look at: The difference between accuracy and validity Explaining sources of errors and how they could be overcome.
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 GIGO.
How to validate ISBN/ISSN Available in cataloging, circulation and acquisitions.
Validation and Verification Today will look at: The difference between accuracy and validity Explaining sources of errors and how they could be overcome.
2.2 Validation & Verification In this section of the course, you must: Understand the difference between accuracy and validity Explain sources of errors.
1 3 Computing System Fundamentals 3.6 Errors Prevention and Recovery.
AS Level ICT Data entry: Validation. Validation Validation is a check that is carried out during the process of data entry It is also the process by which.
Testing. Terms 1 Test Data: The data you will enter to test your system Test Plan: A plan of the tests you are going to complete to ensure your system.
Review of Data Capture. Input Devices What input devices are suitable for data entry? Keyboard Voice Bar Code MICR OMR Smart Cards / Magnetic Stripe cards.
AS Level ICT Data entry: Problems with errors. Garbage in; Garbage out If incorrect data is entered into a data management system, the results of any.
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.
DATABASE. Computer-based filing systems Information in computer-based filing systems are stored in DATA FILES. A FILE is a collection of RELATED RECORDS.
What Are File Maintenance Techniques and Validation Techniques? Group 6.
© Boardworks Ltd of 20 Databases Software For more detailed instructions, see the Getting Started presentation. This icon indicates the slide contains.
Edexcel OnCourse Creating Tables Unit 9 - Databases.
Detecting Bugs Using Assertions Ben Scribner. Defining the Problem Bugs exist Unexpected errors happen Hardware failures Loss of data Data may exist.
Checking data Chapter 7 Prepared by:Sir Mazhar Javed.
CIT PowerPoint presentation Group 4. Unit 1, Chapter 2 Basic Concept on Data DATA AND INFORMATION What is data? Data consists of all sorts of unorganised.
Software. Because databases can get very big, it is important to decide exactly what is going to be stored in each field. Fields can be text, number,
Validation Checks that the data entered is sensible.
© Boardworks Ltd of 20 Creating a Database Handling Data Designing Structure, Capturing and Presenting Data For more detailed instructions, see.
GCSE ICT LESSON 5 Booklet Sections: 6 & 7 Data Capture & Checking Data.
Verify your data entry You could use data types and field properties for adding any validation on your date: EX: Data type: number : allow the user to.
HTML 5 Form elements Basharat Mahmood, Department of Computer Science,CIIT,Islamabad, Pakistan. 1.
© 2017 SlidePlayer.com Inc. All rights reserved.