This seminar discusses nursing informatics and the use of technology in research. It defines key terms like data, databases, and knowledge discovery in databases (KDD). It explains that KDD involves extracting hidden knowledge from large datasets through the use of data mining techniques. The seminar also outlines the various stages of the KDD process and discusses how technology can enhance research activities like data collection and analysis, communication and collaboration, and information storage and retrieval.

1. Nursing Informatics Seminar
Data, KDD, and the uses of technology in research
Presented by:
Sultan Sultan – 15906013
Abdelrahman Alkilani – 15906012
MSN – Year 1

2. Learning outcomes
• By the end of this seminar the learner should be able to :
• Define informatics
• Define data, data base and information
• Identify the types of data
• Explain the importance of software and technology
• Discuss the information science process
• Define Knowledge Discovery in Databases
• Discuss the stages of KDD
• Discuss the uses of technology in research

3. Data
information
Knowledge
Wisdom

4. Data
•Data - Raw fact; lacks meaning.
There many types of data:
• Alpha – letters
• –Numeric – numbers
• –Alphanumeric – Letter and numbers
• –Audio – sounds, noise, or tone
• –Image – graphic, pictures
• –Video –animation, moving pictures

5. Data types
NumericalCategorical
RatioInterval
Nominal Ordinal

6. Data types
QuantitativeQualitative
Continuou
s
Discrete
Nominal Ordinal

8. Data Base
• A collection of records stored in a computer system using tables that can
be related to one another and the data extracted in a variety of ways to
gain needed information without having to reorganize the tables.
• Some of the most beneficial databases to nursing include the following:
• CINAHL (Cumulative Index of Nursing and Allied Health Literature) is the
authoritative resource for nursing and allied health professionals, students,
educators, and researchers. This database provides indexing and abstracting
for more than 1,700 current nursing and allied health journals and
publications dating back to 1982, totaling more than

9. Data Base

10. Data Base

11. Data mining
Software that sorts thorough data in order to discover patterns and
ascertain or establish relationships

12. Information
Data that are interpreted, organized, or structured; data that is processed using
knowledge or data made functional through the application of knowledge
•Primary concentered with:
–Input
–Process
–Output
–feedback
•Systemically based
•Develops by its own law

13. Information
Input Process Output
Feedback
wisdom

14. Knowledge Discovery in Databases (KDD)
Is the extraction of non-obvious, hidden knowledge from large volume
of data.

15. Knowledge Discovery in Databases (KDD)
DATA DATA Mining Knowledge

16. Stages of KDD

17. Uses of technology in research
• Work of a researcher involves such activities as:
• writing proposals
• developing theoretical models
• designing experiments and collecting data
• analyze data
• communicating with colleagues
• studying research literature review
• writing articles

18. Uses of technology in research
 Collection and analysis
1. Dramatic increases in the amount of information researchers can store and
analyze.
For example: researchers can now process and manipulate observations in a
database consisting of 18 years x 3400 individuals x 1000 variable for individual
each year.

19. Uses of technology in research
2. Creation of new instruments
3. Availability of new software packages for standard research activities.
• Difficulties:
- Information technology is not equally accessible to all researches

20. Uses of technology in research
 Communication and collaboration
• Word processing
• Electronic mails
• Networks
1. Information can be shared more and more quickly
2. Researchers are making a new collaboration arrangement
• Difficulties:
- Incompatibility

21. Uses of technology in research
 Information storage and retrieval
1. Electronically stored scientific texts
• Difficulties
May not be easy to access

22. Summary
• Data is a row fact
• Data types: Qualitative Quantitative
• KDD is the extraction of non-obvious, hidden knowledge from large
volume of data.
• Data mining is a core of KDD
• Technology enhance conducting researches.

23. References
• Linda Q. and Jeanne P. Informatics and Nursing Competences and
Applications. (Third Edition). Wolters Kluwer.
• Linda Q. and Jeanne P. Informatics and Nursing Opportunities and
Challenges. (Fourth Edition). Wolters Kluwer.