AI for Qualitative Data Analysis: A Practical Guide for Researchers

A pocket-sized handbook for working with qualitative data and generative AI at Aalto University

Author: Enrico Glerean

Coauthor: …you! Get in touch to help writing this handbook.

Contents:

• 1. How to use this handboox
  • 1.1. Structure
  • 1.2. Types of qualitative data
• 2. Background
  • 2.1. What is GenAI? How does it work?
  • 2.2. Background literature
• 3. Planning your research
  • 3.1. GenAI to explore the literature and construct novel research hypothesis
  • 3.2. GenAI to refine your data collection and data analysis plan.
  • 3.3. Summary
• 4. Data collection
• 5. Data pre-processing
  • 5.1. Preparing your data for LLMs
  • 5.2. Data minimisation
• 6. Analyse qualitative data
  • 6.1. Content analysis with deductive coding
  • 6.2. Content analysis with inductive coding
  • 6.3. Tools and more advanced techniques for qualitative data analysis with AI
• 7. FAIR! Preserve, Share, Reuse
• 8. Ethics and Law
  • 8.1. Basics of information security
  • 8.2. Law - Data protection and cybersecurity
  • 8.3. Ethics
  • 8.4. Further considerations on peer-review and publishing GenAI work
• 9. Conclusions and next steps
  • 9.1. Summary
  • 9.2. Next steps
• 10. Contributing and community guidelines

Indices and tables

• Index

• Module Index

• Search Page