Data Management

1. Explain data, information, and knowledge relationships
2. Describe data management activities in information systems
3. Apply data organization methods and techniques
4. Use database management software
5. Explain data quality control strategies
6. Design and implement information systems

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

1. Week 1Module 1:

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

     Define data, information, and knowledge. Understand the purposes of data management and its overlap with information and knowledge management..

2. Week 2Module 1:

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

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

3. Week 3Module 1:

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

     Describe the goals, key features, and processes of information systems. Explain how these goals are interwoven with data and information management..

4. Week 4Module 1:

   • 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 language symbols, rules, and usages determine data creation..

5. Week 5Module 1:

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

     Explain the binary number system and its use in computers. Understand how computers use signals to represent alphabetic, numeric, and other characters..

6. Week 6Module 2:

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

     Explain the role of data planning in data management. Describe the aims of information resource management and the importance of data and information policies..

7. Week 7Module 2:

   • Unit 7: Data definition and structure · 2 hours

     Describe the differences between structured and unstructured data. Explain how data is pre-defined and subdivided for understanding and manipulation..

8. Week 8Module 2:

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

     Arrange data using different sorting orders. Describe data models and their purposes. Explain hierarchical and network modes of arranging data..

9. Week 9Module 2:

   • 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 data capture methods and devices..

10. Week 10Module 3:

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

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

11. Week 11Module 3:

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

      Explain data quality control contexts and strategies. Describe methods for data quality control in laboratories and research. Contrast human and computerized approaches..

12. Week 12Module 3:

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

      Explain the importance of data storage and the relationship between storage and retrieval. Describe different data storage media and how data is organized in paper and computer formats..

13. Week 13Module 3:

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

      Explain the importance of databases to organizations. Define databases and database management systems. Describe database concepts like tables, records, and fields..

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

      Describe common tasks in creating and using databases, including creating tables, updating records, sorting, and creating indexes..