Introduction To Data Organisation And Management

1. Explain the nature of data, information, and knowledge.
2. Describe different contexts for data organization and management.
3. Apply data organization and management methods to solve data management problems.
4. Explain the importance of data quality control.
5. Describe different methods for data storage and retrieval.

13 weeks, about 28 hours in total. Yours will differ.

1. Week 1Module 1: Data, information and knowledge

   • Unit 1: Data, information and knowledge · 2 hours

     Define data, information, and knowledge. Explore their relationships.. Differentiate between data and precepts..

2. Week 2Module 1: Data, information and knowledge

   • Unit 2: Data, information and knowledge management · 2 hours

     Explain the purposes of data management.. Describe data management activities in the context of the data life cycle.. Explain the relationship between data management, information management and knowledge management..

3. Week 3Module 1: Data, information and knowledge

   • Unit 3: Information systems for data management · 2 hours

     Describe the goals, key features and processes of information systems.. Explain how the goals of information systems are interwoven with those of data and information management.. Explain the data management activities involved in the input-process-storage-output communication processes of information systems..

4. Week 4Module 1: Data, information and knowledge

   • Unit 4: Languages for data organization · 2 hours

     Explain the nature and importance of natural and special languages for social communication and data creation.. Describe how the symbols, rules and usages of a language determine what and how data can be created for expressing information..

5. Week 5Module 1: Data, information and knowledge

   • Unit 5: Data representation in the computer · 2 hours

     Explain the binary number system, and how to add binary numbers.. How computers use signals representing binary digits or bits to represent alphabetic, numeric and other characters.. How images and pictures are captured and represented by computers.. How sound and voice are captured and represented by computers..

6. Week 6Module 2: Data planning and policy making

   • Unit 6: Data planning and policy making · 2 hours

     Explain the role of data planning in the process of data management.. Describe aims of information resources management.. Discuss the importance of data and information policies in data management.. Describe the types of information that data policy manuals usually contain..

7. Week 7Module 2: Data planning and policy making

   • Unit 7: Data definition and structure · 2 hours

     Describe the differences between structured and unstructured data.. Explain how data are pre-defined before being created or collected.. Explain the different ways in which data can be subdivided into separately meaningful portions for ease of understanding and manipulation..

8. Week 8Module 2: Data planning and policy making

   • Unit 8: Data arrangement, grouping and modeling · 2 hours

     Arrange data using different orders of sorting.. Describe a data model, and its purposes.. Explain the hierarchical and network modes of arranging data.. Arrange data using different sorting modes.. Arrange data in either the hierarchical or network modes..

9. Week 9Module 2: Data planning and policy making

   • Unit 9: Data capture, acquisition and collection · 2 hours

     Distinguish between primary and secondary data.. Describe the differences between data creation, collection and acquisition.. Explain the importance of the different tasks involved in data collection.. Describe and give examples of data collection instruments.. Explain data capture and the devices for data capture..

10. Week 10Module 3: Data quality control

    • Unit 10: Data quality control - fundamental concepts · 2 hours

      Explain the importance of data quality control.. Distinguish between the accuracy, validity and reliability of data.. Distinguish between the accuracy and reliability of data collection instruments.. Explain the importance of instruments and procedures in data quality control..

11. Week 11Module 3: Data quality control

    • Unit 11: Data quality control - context and strategies · 2 hours

      Explain the tasks involved in planning for data quality control.. Explain the different data quality control contexts and strategies.. Explain the methods that can be used for data quality control in laboratories research.. Contrast human and computerized approaches to data quality control..

12. Week 12Module 3: Data quality control

    • Unit 12: Data storage media and organization · 2 hours

      Explain the importance of data storage, and the relationships between data storage and retrieval.. Explain the types of media that can be used to store data.. Describe how data are organized and stored in different types of paper documents.. Explain how data are organized and stored on computer media such as hard disks, diskettes and compact disks..

13. Week 13Module 3: Data quality control

    • Unit 13: Data storage in computer databases · 2 hours

      Explain the importance of database management to an organization or information system.. Explain the concepts of database, data tables, records and fields, as well as database forms, views and reports..

    • Unit 14: Creating and using databases: Common tasks · 2 hours

      Describe the common tasks in creating and using databases.. Explain the database table concepts of field name, field type and field width, primary key field, etc..