In this class, the instructor give lectures about data and concepts of scientometrics and indicators. Then he illustrates methodology of scientometrics and explains how to use related software. Lastly, he gives a task to analyze "real" text data and bibliographic data.
The aims of this class is as follows.
- To learn quantitative approaches in science an technology studies.
- To have basic skills for qualitative analysis.
(1) Understand basic concepts of scientometrics and indicators.
(2) Have basic knowledge about methodology of scientometrics.
(3) Have basic skills for executing scientometric analysis.
Scientometrics; quantitative research; text analysis
✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | Practical and/or problem-solving skills |
Combination of lecture and exercises. Students are recommended to bring your own PC to the class.
Course schedule | Required learning | |
---|---|---|
Class 1 | Introduction | NA |
Class 2 | Indicators and evaluation of scientific activities | Your original university evaluation |
Class 3 | Bibliographic database | Searching academic documents |
Class 4 | Bibliographic data processing and its meaning | ditto |
Class 5 | Analysis of citations and co-authorship: Network analysis of bibliographic data | Use Pajek |
Class 6 | Building text corpora | Build your corpus |
Class 7 | Text analysis: Keyword extraction and frequency analysis | Install KH coder |
Class 8 | Text analysis: co-word analysis | Co-word analysis |
Not required
Hand out materials as needed.
Exercise problems (40%) and final report (60%)
Not required